NET Wiki - User contributions [en]

Teaching

2020-08-25T13:04:31Z

Yyuan: /* Winter Semester 2020/2021 */

== Winter Semester 2020/2021 ==
* [[Computer Networks (Winter 2020/2021) | Computer Networks]] (BSc) (Fabian,Yachao)
* [https://wiki.net.informatik.uni-goettingen.de/wiki/Seminar_on_Internet_Technologies_(Winter_2020_2021) Seminar on Internet Technologies(Winter 2020/2021)] (MSc, BSc) (Shichang, Sripriya)
* [[Advanced Practical Course Data Science (Winter 2020/2021) ]](MSc) (Jiaquan)
* [[Advanced topics in IoT (Winter 2020/2021) | Advanced topics in IoT (Winter 2020/2021)]] (MSc, BSc) (Sripriya, Tingting)
* [[Practical Course Networking Lab (Winter 2020/2021) | Practical Course Networking Lab ]] (BSc) (Cong, Bangbang)
* [https://www.stud.informatik.uni-goettingen.de/bcs/ Smart city] (MSc, BSc) (Fabian, Weijun,Tingting)

== Summer Semester 2020 ==
* [[Advanced Computer Networks (Summer 2020) | Advanced Computer Networks]] (MSc)
* [[Advanced topics in mobile and social computing (AToMSC) (Summer 2020) | Advanced topics in mobile and social computing (AToMSC) (Summer 2020)]] (MSc, BSc)
* [[Advanced Practical Course Data Science (Summer 2020) ]](MSc)
* [[Seminar on Internet Technologies (Summer 2020) ]](MSc, BSc)
* [[Computer Networks (Summer 2020) | Computer Networks (Exam only!) (Summer 2020)]] (BSc)
* [[Practical Course Networking Lab (Summer 2020) | Practical Course Networking Lab ]] (BSc)

== Winter Semester 2019/2020 ==
* [[Computer Networks (Winter 2019/2020) | Computer Networks]] (BSc)
* [https://wiki.net.informatik.uni-goettingen.de/wiki/Seminar_on_Internet_Technologies_(Winter_2019_2020) Seminar on Internet Technologies(Winter 2019/2020)] (MSc, BSc)
* [[Advanced Practical Course Data Science (Winter 2019/2020) ]](MSc)
* [[Advanced topics in mobile and social computing (AToMSC) (Winter 2019/2020) | Advanced topics in mobile and social computing (AToMSC) (Winter 2019/2020)]] (MSc, BSc)
* [[Practical Course Networking Lab (Winter 2019/2020) | Practical Course Networking Lab ]] (BSc)
* [https://www.stud.informatik.uni-goettingen.de/bcs/ Advanced Blockchain] (MSc, BSc)

== Summer Semester 2019 ==
* [https://wiki.net.informatik.uni-goettingen.de/wiki/Advanced_Topics_in_Computer_Networks_(ATCN)_2019 Seminar ATCN] (MSc, BSc)
* [https://wiki.net.informatik.uni-goettingen.de/wiki/Seminar_on_Internet_Technologies_(Summer_2019) Seminar on Internet Technologies(Summer 2019)] (MSc, BSc)
* [https://wiki.net.informatik.uni-goettingen.de/wiki/Advanced_Computer_Networks_(Summer_2019)#Schedule_.28Tentative.29 Advanced Computer Networks (Summer 2019)] (MSc)
* [[Computer Networks (Summer 2019) | Computer Networks (Exam only!)]] (BSc)
* [[Practical Course Networking Lab (Summer 2019) | Practical Course Networking Lab ]] (BSc)
* [https://www.stud.informatik.uni-goettingen.de/bcs/ss/ Introduction to Blockchain Technology] (MSc, BSc)
* [[Advanced Practical Course Data Science (Summer 2019) ]](MSc)

== winter Semester 2018/2019 ==
* [https://www.stud.informatik.uni-goettingen.de/bcs/ws2018/ Introduction to Blockchain Technology (Examination Only)] (MSc, BSc)
* [https://www.stud.informatik.uni-goettingen.de/bcs/ws2018-advanced/ Advanced Blockchain] (MSc, BSc)
* [https://wiki.net.informatik.uni-goettingen.de/wiki/Advanced_Topics_in_Mobile_Communications_(AToMIC)_2018 Seminar ATCN/AToMIC] (MSc, BSc)
* [https://wiki.net.informatik.uni-goettingen.de/wiki/Seminar_on_Internet_Technologies_(Winter_2018) Seminar on Internet Technologies(Winter 2018/2019)] (MSc, BSc)
* [[Computer Networks (Winter 2018/2019) | Computer Networks]] (BSc)

== Summer Semester 2018 ==
* [https://www.stud.informatik.uni-goettingen.de/bcs/ss/ Introduction to Blockchain Technology] (MSc, BSc)
* [[Practical Course Data Science (Summer 2018) ]] (MSc)
* [[Practical Course Networking Lab (Summer 2018) | Practical Course Networking Lab ]] (BSc)
* [[Advanced Computer Networks (Summer 2018) | Advanced Computer Networks ]] (MSc)
* [[Computer Networks (Summer 2018) | Computer Networks (Exam only!)]] (BSc)
* [[Seminar on Internet Technologies (Summer 2018) | Seminar on Internet Technologies]] (BSc/MSc)

== Courses Winter Semester 2017/2018 ==
Note: We will update the respective pages soon.
* [[Computer Networks (Winter 2017/2018) | Computer Networks]] (BSc)
* [[Advanced Practical Course Data Science for Computer Networks (Winter 2017/2018) | Practical Course: Data Science]] (MSc) (PhD/BSc welcome)
* [[Practical Course Networking Lab (Winter 2017/2018) | Practical Course Networking Lab ]] (BSc)
* [[Software-defined Networking (Winter 2017/2018) | Block Course: Software-defined Networking]] (MSc) (''Course period: 9 October 2017 (Mon) - 13 Oct 2017 (Fri)'') (NOTE: The course structure will be different to past years)
* [[Seminar on Internet Technologies (Winter 2017/2018) | Seminar on Internet Technologies]] (BSc/MSc)

== Courses Summer Semester 2017 ==
* [[Advanced Practical Course Data Science for Computer Networks (Summer 2017) | Advanced Practical Course: Data Science for Computer Networks ]] (MSc) (BSc welcome)
* [[Seminar on Internet Technologies (Summer 2017) | Seminar on Internet Technologies (Summer 2017) ]] (MSc)
* [[Advanced Computer Networks (Summer 2017) | Advanced Computer Networks ]] (MSc)
* [[Practical Course Networking Lab (Summer 2017) | Practical Course Networking Lab ]] (BSc)
* [[Computer Networks (Summer 2017) | Computer Networks (Exam only!)]] (BSc)

== Courses Winter Semester 2016/2017 ==
Note: We will update the respective pages soon.
* [[Practical Course Networking Lab (Winter 2016/2017) | Practical Course Networking Lab]] (BSc)
* [[Computer Networks (Winter 2016/2017) | Computer Networks]] (BSc)
* [[Practical Course on Data Science for Computer Networks (Winter 2016/2017) | Practical Course on Data Science for Computer Networks]] (MSc)
* [[Software-defined Networking (Winder 2016/2017) | Block Course: Software-defined Networking]] (MSc) (''Course period: 22 Feb 2017 (wed) - 2 Mar 2017 (Thu)'')
* [[Seminar on Internet Technologies (Winter 2016/2017) | Seminar on Internet Technologies]] (BSc/MSc)

== Courses Summer Semester 2016 ==
* [[Practical Course Networking Lab (Summer 2016) | Practical Course Networking Lab ]] (BSc)
* [[Practical Course Advanced Networking (Summer 2016) | Practical Course Advanced Networking: Data Science Edition]] (MSc)
* [[Advanced Topics in Mobile Communications (AToMIC): Social Network in Mobile Big Data (Summer 2016)]] (MSc)
* [[Seminar on Internet Technologies (Summer 2016) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2016) | Computer Networks (Exam only!)]] (BSc)
* [[Advanced Computer Networks (Summer 2016) | Advanced Computer Networks]] (MSc)

== Courses Winter Semester 2015/2016 ==

* [[Advanced Topics in Computer Networking (Winter 2015/2016) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2015/2016) | Practical Course Networking Lab]] (BSc)
* [[Seminar on Internet Technologies (Winter 2015/2016) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2015/2016) | Computer Networks]] (BSc)
Block courses:
* [[Introduction to Software-defined Networking (Winter 2015/2016) | Introduction to Software-defined Networking]] (MSc) (14-18 March 2016)
* [[Specialization Software-defined Networking (Winter 2015/2016) | Specialization Software-defined Networking]] (MSc) (21-25 March 2016)

== Courses Summer Semester 2015 ==
* [[Practical Course Networking Lab (Summer 2015) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Summer 2015) | Practical Course Advanced Networking]] (MSc)
* [[Advanced Topics in Mobile Communications (AToMIC)]] (MSc)
* [[Seminar on Internet Technologies (Summer 2015) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2015) | Computer Networks (Exam only!)]] (BSc)
* [[Advanced Computer Networks (Summer 2015) | Advanced Computer Networks]] (MSc)
* [[Machine Learning and Pervasive Computing (Summer 2015) | Machine Learning and Pervasive Computing]] (MSc)

== Courses Winter Semester 2014/2015 ==
* [[Advanced Topics in Computer Networking (Winter 2014/2015) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2014/2015) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Winter 2014/2015) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Winter 2014/2015) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2014/2015) | Computer Networks]] (BSc)
* [[Machine Learning and Pervasive Computing (Winter 2014/2015) | Machine Learning and Pervasive Computing]] (MSc)
* [[Introduction to Software-defined Networking (Winter 2014/2015) | Introduction to Software-defined Networking]] (MSc)
* [[Specialization Software-defined Networking (Winter 2014/2015) | Specialization Software-defined Networking]] (MSc)

== Courses Summer Semester 2014 ==
* [[Advanced Topics in Social Network and Big Data Methods(Summer 2014) | Advanced Topics in Social Network and Big Data Methods ]] (MSc)
* [[Advances in Mobile Applications and Mobile Cloud Computing(Summer 2014) | Advances in Mobile Applications and Mobile Cloud Computing ]] (MSc)
* [[Practical Course Networking Lab (Summer 2014) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Summer 2014) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Summer 2014) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2014) | Computer Networks (Exam only!)]] (BSc)
* [[Advanced Computer Networks (Summer 2014) | Advanced Computer Networks]] (MSc)

== Courses Winter Semester 2013/14 ==
* [[Advanced Topics in Computer Networking (Winter 2013/2014) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2013/2014) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Winter 2013/2014) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Winter 2013/2014) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2013/2014) | Computer Networks]] (BSc)
* [[Selected topics in Pervasive Computing (Winter 2013/2014) | Selected Topics in Pervasive Computing]] (MSc)

== Courses Summer Semester 2013 ==
* [[Advanced Topics in Mobile Communications (Summer 2013) | Advanced Topics in Mobile Communications (AToMIC)]] (MSc)
* [[Practical Course Networking Lab (Summer 2013) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Summer 2013) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Summer 2013) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2013) | Computer Networks]] (BSc)
* [[Advanced Computer Networks (Summer 2013) | Advanced Computer Networks]] (MSc)

== Courses Winter Semester 2012/13 ==
* [[Advanced Topics in Computer Networking (Winter 2012/2013) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2012/2013) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Winter 2012/2013) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Winter 2012/2013) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2012/2013) | Computer Networks]] (BSc)
* [http://www.swe.informatik.uni-goettingen.de/lectures/social-networks-seminar-ws2012 Social Networks Seminar] (MSc)

== Courses Summer Semester 2012 ==
* [[Advanced Topics in Mobile Communications (Summer 2012) | Advanced Topics in Mobile Communications (AToMIC)]] (MSc)
* [[Practical Course Networking Lab (Summer 2012) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Summer 2012) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Summer 2012) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2012) | Computer Networks]] (BSc)
* [[Advanced Computer Networks (Summer 2012) | Advanced Computer Networks]] (MSc)

== Courses Winter Semester 2011/2012 ==
* [[Advanced Topics in Computer Networking (Winter 2011/2012) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2011/2012) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Winter 2011/2012) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Winter 2011/2012) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2011/2012) | Computer Networks]] (BSc)
* [[Social Networks Colloquium (Winter 2011/2012) | Social Networks Colloquium]] (BSc/MSc)

== Courses Summer Semester 2011 ==
* [[Advanced Topics in Mobile Communications (Summer 2011) | Advanced Topics in Mobile Communications (AToMIC)]] (MSc)
* [[Practical Course Networking Lab (Summer 2011) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Summer 2011) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Summer 2011) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2011) | Computer Networks]] (BSc)

== Courses Winter Semester 2010/2011 ==
* [[Advanced Topics in Computer Networking (Winter 2010/2011) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2010/2011) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Winter 2010/2011) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Winter 2010/2011) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2010/2011) | Computer Networks (previously Telematik)]] (BSc)
* [[Seminar on Mathematical Models in Computer Networks (Winter 2010/2011) | Seminar on Mathematical Models]] (MSc/PhD)

== Courses Summer Semester 2010 ==
* [[Advanced Topics in Mobile Communications (Summer 2010) | Advanced Topics in Mobile Communications (AToMIC)]] (MSc)
* [[Practical Course Networking Lab (Summer 2010) | Practical Course Networking Lab]] (BSc)
* [[Seminar on Internet Technologies (Summer 2010) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Telematics (Summer 2010) | Telematik/Telematics (Exam only)]] (BSc)

<noinclude>

== Courses Winter Semester 2009/2010 ==
* [[Advanced Topics in Computer Networking (Winter 2009/2010) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2009/2010) | Practical Course Networking Lab]] (BSc)
* [[Seminar on Internet Technologies (Winter 2009/2010) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Telematik (Winter 2009/2010) | Telematik]] (BSc)

<noinclude>

== Courses Summer Semester 2009 ==
* [http://www.net.informatik.uni-goettingen.de/teaching/1595 Advanced Topics in Mobile Communications (AToMIC)]
* [[Practical Course Networking Lab (Summer 2009) | Practical Course Networking Lab]]
* [[Seminar on Internet Technologies (Summer 2009) | Seminar on Internet Technologies]]
* [http://www.net.informatik.uni-goettingen.de/teaching/1599 Telematik Exam]

== Courses before Summer 2009==
* For a list of older courses please go [http://www.net.informatik.uni-goettingen.de/teaching here].
</noinclude>

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-09T10:08:32Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Kai Jiang, et. al., [https://ieeexplore.ieee.org/abstract/document/9013035?casa_token=0k0F-8RL7KcAAAAA:nSe-Gvs8tzDcAjeQiwej2wkk-384ArB4dR9C24NRKZXT2nGNNiQVcPYC2OAvyedjTnF7t4tkuqY Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection], IEEE Transactions on Geoscience and Remote Sensing, 2020. ('''Presented by MD Samiur Rahman''')
***Jiayi Wei, et. al., [http://openaccess.thecvf.com/content_cvpr_2018_workshops/w3/html/Wei_Unsupervised_Anomaly_Detection_CVPR_2018_paper.html Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling], CVPR WKS'20. ('''Presented by Yachao Yuan''')
***Gang Sun, et. al., [https://ieeexplore.ieee.org/abstract/document/9089235?casa_token=NxJHK09DG8sAAAAA:HrN8bzDuNRPEqRWLH3qYoUilQo0Z-n_dYdpqYGM7TmTxCMw6E1zVWABEkooKLpH4FYJn4k0Ap4g Blockchain Enhanced High-Confidence Energy Sharing in Internet of Electric Vehicles], IoTJ'20. ('''Presented by Yunxiao Zhang''')

** 23 July 2020 (14:00-16:00)
***Alaa Awad Abdellatif, et. al., [https://ieeexplore.ieee.org/abstract/document/8674240?casa_token=_CvnALc3iaYAAAAA:CgmR_hGQFxtYjqZGgUSSgjobXiwq75vlFJSGzbNfOAnLdLvSP8IEsfUNTYmEb0d6H2Mc5JlbuNg Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges], IEEE Network, 2019. ('''Presented by Tapashi Gosswami''')
***Liantao Ma, et. al., [https://www.aaai.org/ojs/index.php/AAAI/article/view/5428 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context], AAAI'20. ('''Presented by Tarjia Alam Nisha''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-07T14:36:17Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Kai Jiang, et. al., [https://ieeexplore.ieee.org/abstract/document/9013035?casa_token=0k0F-8RL7KcAAAAA:nSe-Gvs8tzDcAjeQiwej2wkk-384ArB4dR9C24NRKZXT2nGNNiQVcPYC2OAvyedjTnF7t4tkuqY Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection], IEEE Transactions on Geoscience and Remote Sensing, 2020. ('''Presented by MD Samiur Rahman''')
***Jiayi Wei, et. al., [http://openaccess.thecvf.com/content_cvpr_2018_workshops/w3/html/Wei_Unsupervised_Anomaly_Detection_CVPR_2018_paper.html Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling], CVPR WKS'20. ('''Presented by Yachao Yuan''')
***Gang Sun, et. al., [https://ieeexplore.ieee.org/abstract/document/9089235?casa_token=NxJHK09DG8sAAAAA:HrN8bzDuNRPEqRWLH3qYoUilQo0Z-n_dYdpqYGM7TmTxCMw6E1zVWABEkooKLpH4FYJn4k0Ap4g Blockchain Enhanced High-Confidence Energy Sharing in Internet of Electric Vehicles], IoTJ'20. ('''Presented by ''')

** 23 July 2020 (14:00-16:00)
***Alaa Awad Abdellatif, et. al., [https://ieeexplore.ieee.org/abstract/document/8674240?casa_token=_CvnALc3iaYAAAAA:CgmR_hGQFxtYjqZGgUSSgjobXiwq75vlFJSGzbNfOAnLdLvSP8IEsfUNTYmEb0d6H2Mc5JlbuNg Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges], IEEE Network, 2019. ('''Presented by Tapashi Gosswami''')
***Liantao Ma, et. al., [https://www.aaai.org/ojs/index.php/AAAI/article/view/5428 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context], AAAI'20. ('''Presented by Tarjia Alam Nisha''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-07T14:09:46Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Kai Jiang, et. al., [https://ieeexplore.ieee.org/abstract/document/9013035?casa_token=0k0F-8RL7KcAAAAA:nSe-Gvs8tzDcAjeQiwej2wkk-384ArB4dR9C24NRKZXT2nGNNiQVcPYC2OAvyedjTnF7t4tkuqY Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection], IEEE Transactions on Geoscience and Remote Sensing, 2020. ('''Presented by ''')
***Jiayi Wei, et. al., [http://openaccess.thecvf.com/content_cvpr_2018_workshops/w3/html/Wei_Unsupervised_Anomaly_Detection_CVPR_2018_paper.html Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling], CVPR WKS'20. ('''Presented by Yachao Yuan''')
***Gang Sun, et. al., [https://ieeexplore.ieee.org/abstract/document/9089235?casa_token=NxJHK09DG8sAAAAA:HrN8bzDuNRPEqRWLH3qYoUilQo0Z-n_dYdpqYGM7TmTxCMw6E1zVWABEkooKLpH4FYJn4k0Ap4g Blockchain Enhanced High-Confidence Energy Sharing in Internet of Electric Vehicles], IoTJ'20. ('''Presented by ''')

** 23 July 2020 (14:00-16:00)
***Alaa Awad Abdellatif, et. al., [https://ieeexplore.ieee.org/abstract/document/8674240?casa_token=_CvnALc3iaYAAAAA:CgmR_hGQFxtYjqZGgUSSgjobXiwq75vlFJSGzbNfOAnLdLvSP8IEsfUNTYmEb0d6H2Mc5JlbuNg Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges], IEEE Network, 2019. ('''Presented by Tapashi Gosswami''')
***Liantao Ma, et. al., [https://www.aaai.org/ojs/index.php/AAAI/article/view/5428 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context], AAAI'20. ('''Presented by Tarjia Alam Nisha''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-07T14:08:47Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Kai Jiang, et. al., [https://ieeexplore.ieee.org/abstract/document/9013035?casa_token=0k0F-8RL7KcAAAAA:nSe-Gvs8tzDcAjeQiwej2wkk-384ArB4dR9C24NRKZXT2nGNNiQVcPYC2OAvyedjTnF7t4tkuqY Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection], IEEE Transactions on Geoscience and Remote Sensing, 2020. ('''Presented by ''')
***Jiayi Wei, et. al., [http://openaccess.thecvf.com/content_cvpr_2018_workshops/w3/html/Wei_Unsupervised_Anomaly_Detection_CVPR_2018_paper.html Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling], CVPR WKS'20. ('''Presented by ''')
***Gang Sun, et. al., [https://ieeexplore.ieee.org/abstract/document/9089235?casa_token=NxJHK09DG8sAAAAA:HrN8bzDuNRPEqRWLH3qYoUilQo0Z-n_dYdpqYGM7TmTxCMw6E1zVWABEkooKLpH4FYJn4k0Ap4g Blockchain Enhanced High-Confidence Energy Sharing in Internet of Electric Vehicles], IoTJ'20. ('''Presented by ''')

** 23 July 2020 (14:00-16:00)
***Alaa Awad Abdellatif, et. al., [https://ieeexplore.ieee.org/abstract/document/8674240?casa_token=_CvnALc3iaYAAAAA:CgmR_hGQFxtYjqZGgUSSgjobXiwq75vlFJSGzbNfOAnLdLvSP8IEsfUNTYmEb0d6H2Mc5JlbuNg Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges], IEEE Network, 2019. ('''Presented by Tapashi Gosswami''')
***Liantao Ma, et. al., [https://www.aaai.org/ojs/index.php/AAAI/article/view/5428 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context], AAAI'20. ('''Presented by Tarjia Alam Nisha''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-07T14:08:02Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Kai Jiang, et. al., [https://ieeexplore.ieee.org/abstract/document/9013035?casa_token=0k0F-8RL7KcAAAAA:nSe-Gvs8tzDcAjeQiwej2wkk-384ArB4dR9C24NRKZXT2nGNNiQVcPYC2OAvyedjTnF7t4tkuqY Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection], IEEE Transactions on Geoscience and Remote Sensing, 2020. ('''Presented by ''')
***Jiayi Wei, et. al., [http://openaccess.thecvf.com/content_cvpr_2018_workshops/w3/html/Wei_Unsupervised_Anomaly_Detection_CVPR_2018_paper.html Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling], CVPR WKS'20. ('''Presented by ''')
***Gang Sun, et. al., [https://ieeexplore.ieee.org/abstract/document/9089235?casa_token=NxJHK09DG8sAAAAA:HrN8bzDuNRPEqRWLH3qYoUilQo0Z-n_dYdpqYGM7TmTxCMw6E1zVWABEkooKLpH4FYJn4k0Ap4g Blockchain Enhanced High-Confidence Energy Sharing in Internet of Electric Vehicles], IoTJ'20. ('''Presented by ''')

** 23 July 2020 (14:00-16:00)
***Alaa Awad Abdellatif, et. al., [https://ieeexplore.ieee.org/abstract/document/8674240?casa_token=_CvnALc3iaYAAAAA:CgmR_hGQFxtYjqZGgUSSgjobXiwq75vlFJSGzbNfOAnLdLvSP8IEsfUNTYmEb0d6H2Mc5JlbuNg Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges], IEEE Network, 2019. ('''Presented by Tapashi Gosswami''')
***Liantao Ma, et. al., [https://www.aaai.org/ojs/index.php/AAAI/article/view/5428 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context], AAAI'20. ('''Presented by ''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-06T12:28:08Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Kai Jiang, et. al., [https://ieeexplore.ieee.org/abstract/document/9013035?casa_token=0k0F-8RL7KcAAAAA:nSe-Gvs8tzDcAjeQiwej2wkk-384ArB4dR9C24NRKZXT2nGNNiQVcPYC2OAvyedjTnF7t4tkuqY Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection], IEEE Transactions on Geoscience and Remote Sensing, 2020. ('''Presented by ''')
***Jiayi Wei, et. al., [http://openaccess.thecvf.com/content_cvpr_2018_workshops/w3/html/Wei_Unsupervised_Anomaly_Detection_CVPR_2018_paper.html Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling], CVPR WKS'20. ('''Presented by ''')
***Gang Sun, et. al., [https://ieeexplore.ieee.org/abstract/document/9089235?casa_token=NxJHK09DG8sAAAAA:HrN8bzDuNRPEqRWLH3qYoUilQo0Z-n_dYdpqYGM7TmTxCMw6E1zVWABEkooKLpH4FYJn4k0Ap4g Blockchain Enhanced High-Confidence Energy Sharing in Internet of Electric Vehicles], IoTJ'20. ('''Presented by ''')

** 23 July 2020 (14:00-16:00)
***Alaa Awad Abdellatif, et. al., [https://ieeexplore.ieee.org/abstract/document/8674240?casa_token=_CvnALc3iaYAAAAA:CgmR_hGQFxtYjqZGgUSSgjobXiwq75vlFJSGzbNfOAnLdLvSP8IEsfUNTYmEb0d6H2Mc5JlbuNg Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges], IEEE Network, 2019. ('''Presented by ''')
***Liantao Ma, et. al., [https://www.aaai.org/ojs/index.php/AAAI/article/view/5428 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context], AAAI'20. ('''Presented by ''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-06T12:27:04Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Kai Jiang, et. al., [https://ieeexplore.ieee.org/abstract/document/9013035?casa_token=0k0F-8RL7KcAAAAA:nSe-Gvs8tzDcAjeQiwej2wkk-384ArB4dR9C24NRKZXT2nGNNiQVcPYC2OAvyedjTnF7t4tkuqY Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection], IEEE Transactions on Geoscience and Remote Sensing, 2020. ('''Presented by ''')

***Jiayi Wei, et. al., [http://openaccess.thecvf.com/content_cvpr_2018_workshops/w3/html/Wei_Unsupervised_Anomaly_Detection_CVPR_2018_paper.html Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling], CVPR WKS'20. ('''Presented by ''')

***Gang Sun, et. al., [https://ieeexplore.ieee.org/abstract/document/9089235?casa_token=NxJHK09DG8sAAAAA:HrN8bzDuNRPEqRWLH3qYoUilQo0Z-n_dYdpqYGM7TmTxCMw6E1zVWABEkooKLpH4FYJn4k0Ap4g Blockchain Enhanced High-Confidence Energy Sharing in Internet of Electric Vehicles], IoTJ'20. ('''Presented by ''')

** 23 July 2020 (14:00-16:00)
***Alaa Awad Abdellatif, et. al., [https://ieeexplore.ieee.org/abstract/document/8674240?casa_token=_CvnALc3iaYAAAAA:CgmR_hGQFxtYjqZGgUSSgjobXiwq75vlFJSGzbNfOAnLdLvSP8IEsfUNTYmEb0d6H2Mc5JlbuNg Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges], IEEE Network, 2019. ('''Presented by ''')

***Liantao Ma, et. al., [https://www.aaai.org/ojs/index.php/AAAI/article/view/5428 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context], AAAI'20. ('''Presented by ''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-06T12:16:14Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Kai Jiang, et. al., [https://ieeexplore.ieee.org/abstract/document/9013035?casa_token=0k0F-8RL7KcAAAAA:nSe-Gvs8tzDcAjeQiwej2wkk-384ArB4dR9C24NRKZXT2nGNNiQVcPYC2OAvyedjTnF7t4tkuqY Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection], IEEE Transactions on Geoscience and Remote Sensing, 2020. ('''Presented by ''')

***Jiayi Wei, et. al., [http://openaccess.thecvf.com/content_cvpr_2018_workshops/w3/html/Wei_Unsupervised_Anomaly_Detection_CVPR_2018_paper.html Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling], CVPR WKS'20. ('''Presented by ''')

***Gang Sun, et. al., [https://ieeexplore.ieee.org/abstract/document/9089235?casa_token=NxJHK09DG8sAAAAA:HrN8bzDuNRPEqRWLH3qYoUilQo0Z-n_dYdpqYGM7TmTxCMw6E1zVWABEkooKLpH4FYJn4k0Ap4g Blockchain Enhanced High-Confidence Energy Sharing in Internet of Electric Vehicles], IoTJ'20. ('''Presented by ''')

** 23 July 2020 (14:00-16:00)
***Yan Wang, et. al., [http://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Pseudo-LiDAR_From_Visual_Depth_Estimation_Bridging_the_Gap_in_3D_CVPR_2019_paper.html Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving], CVPR'19. ('''Presented by Emmanuel Charleson Dapaah''')

***Subhendu Khatuya, Niloy Ganguly, Jayanta Basak, Madhumita Bharde, Bivas Mitra, [https://ieeexplore.ieee.org/abstract/document/8835364 Certified Robustness to Adversarial Examples with Differential Privacy], SP'19. ('''Presented by Tapashi Gosswami''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-06T12:11:57Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Kai Jiang, et. al., [https://ieeexplore.ieee.org/abstract/document/9013035?casa_token=0k0F-8RL7KcAAAAA:nSe-Gvs8tzDcAjeQiwej2wkk-384ArB4dR9C24NRKZXT2nGNNiQVcPYC2OAvyedjTnF7t4tkuqY Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection], IEEE Transactions on Geoscience and Remote Sensing, 2020. ('''Presented by ''')

***Subhendu Khatuya, Niloy Ganguly, Jayanta Basak, Madhumita Bharde, Bivas Mitra, [https://ieeexplore.ieee.org/abstract/document/8835364 Certified Robustness to Adversarial Examples with Differential Privacy], SP'19. ('''Presented by Tapashi Gosswami''')
** 23 July 2020 (14:00-16:00)
***Yan Wang, et. al., [http://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Pseudo-LiDAR_From_Visual_Depth_Estimation_Bridging_the_Gap_in_3D_CVPR_2019_paper.html Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving], CVPR'19. ('''Presented by Emmanuel Charleson Dapaah''')

***Subhendu Khatuya, Niloy Ganguly, Jayanta Basak, Madhumita Bharde, Bivas Mitra, [https://ieeexplore.ieee.org/abstract/document/8835364 Certified Robustness to Adversarial Examples with Differential Privacy], SP'19. ('''Presented by Tapashi Gosswami''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-06T12:09:17Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Yan Wang, et. al., [http://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Pseudo-LiDAR_From_Visual_Depth_Estimation_Bridging_the_Gap_in_3D_CVPR_2019_paper.html Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving], CVPR'19. ('''Presented by Emmanuel Charleson Dapaah''')

***Subhendu Khatuya, Niloy Ganguly, Jayanta Basak, Madhumita Bharde, Bivas Mitra, [https://ieeexplore.ieee.org/abstract/document/8835364 Certified Robustness to Adversarial Examples with Differential Privacy], SP'19. ('''Presented by Tapashi Gosswami''')
** 23 July 2020 (14:00-16:00)
***Yan Wang, et. al., [http://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Pseudo-LiDAR_From_Visual_Depth_Estimation_Bridging_the_Gap_in_3D_CVPR_2019_paper.html Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving], CVPR'19. ('''Presented by Emmanuel Charleson Dapaah''')

***Subhendu Khatuya, Niloy Ganguly, Jayanta Basak, Madhumita Bharde, Bivas Mitra, [https://ieeexplore.ieee.org/abstract/document/8835364 Certified Robustness to Adversarial Examples with Differential Privacy], SP'19. ('''Presented by Tapashi Gosswami''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-06T12:08:58Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
***Yan Wang, et. al., [http://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Pseudo-LiDAR_From_Visual_Depth_Estimation_Bridging_the_Gap_in_3D_CVPR_2019_paper.html Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving], CVPR'19. ('''Presented by Emmanuel Charleson Dapaah''')
**'''Differential Privacy in networks'''
***Subhendu Khatuya, Niloy Ganguly, Jayanta Basak, Madhumita Bharde, Bivas Mitra, [https://ieeexplore.ieee.org/abstract/document/8835364 Certified Robustness to Adversarial Examples with Differential Privacy], SP'19. ('''Presented by Tapashi Gosswami''')
** 23 July 2020 (14:00-16:00)
***Yan Wang, et. al., [http://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Pseudo-LiDAR_From_Visual_Depth_Estimation_Bridging_the_Gap_in_3D_CVPR_2019_paper.html Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving], CVPR'19. ('''Presented by Emmanuel Charleson Dapaah''')
**'''Differential Privacy in networks'''
***Subhendu Khatuya, Niloy Ganguly, Jayanta Basak, Madhumita Bharde, Bivas Mitra, [https://ieeexplore.ieee.org/abstract/document/8835364 Certified Robustness to Adversarial Examples with Differential Privacy], SP'19. ('''Presented by Tapashi Gosswami''')
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-06-04T09:38:03Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by Tapashi Gosswami''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-05-26T14:57:01Z

Yyuan: /* Details */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Theses and Projects

2020-05-26T11:03:10Z

Yyuan: /* Machine Learning & deep learning on electronic healthcare records */

== Open Theses and Student Project Topics ==

The Computer Networks Group is always looking for motivated students to work on various topics. If you are interested in any of the projects below, or if you have other ideas and are willing to work with us, please don't hesitate to [mailto:net@informatik.uni-goettingen.de contact us].

* (B) Bachelor thesis
* (M) Master thesis
* (P) Student project

=== Low Power, Wide Area (LPWA) technologies on smart cities===

* '''New!'''The LoRaWAN specification is a Low Power, Wide Area (LPWA) networking protocol, which is attracting a lot of attention due to their ability to offer affordable connectivity to the low-power devices distributed over very large geographical areas. In this project, we plan to exploit the LoRaWAN technologies to improve the performance of applications in smart cities. More details can be found in link: https://ieeexplore.ieee.org/abstract/document/7815384?casa_token=c3-nAktQO-AAAAAA:EHmi8hFe-HL853Kwq8Kot-mi8KPNSahLRT-4Tp0O8pdaT0mVH_DKUYPGU9onF227eKhpPPyC1436kw Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan] (B/M/P)

=== Machine Learning & deep learning on electronic healthcare records===

* '''New!'''In recent years, large amounts of health data, such as patient Electronic Health Records (EHR), are becoming readily available. This provides an unprecedented opportunity for knowledge discovery and data mining algorithms to dig insights from them, which can, later on, be helpful to the improvement of the quality of care delivery. This project will be mainly on using machine learning to analyze electronic healthcare dataset. Please contact [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao] (B/M/P)

=== Multiple Machine Learning Tasks like User Profiling, federated learning, attention learning, privacy, and etc(finished)===

* [[Multiple machine learning tasks]] (click the link and see detailed description) Please contact [http://www.net.informatik.uni-goettingen.de/?q=people/shichang-ding Shichang Ding] (B/M/P)

===Machine Learning for Security and Privacy in Network (NEW 2019!!!)===
* '''New!''' QUIC protocol design for video streaming analysis. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan] (Assigned to Yuhan Wang and Pronaya Prosun Das)
* '''New!''' Implement algorithms for improving the network anomaly detection. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]
* '''New!''' Implement algorithms for improving the privacy of vehicle communications. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]



===QUIC or Multipath QUIC Design===
* '''New!''' Implement algorithms for improving QUIC or Multipath QUIC performance. (B/M/P, at least familiar with one programming language (eg. [https://github.com/devsisters/libquic C++], [https://github.com/lucas-clemente/quic-go go] or Python).) Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan] (Finished)

===Segment Routing based SDN===
* '''NEW! Winter 2018/2019 ''' There are many topics opened for Master and Bachelor theses and projects. Please contact [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]

=== Software Defined Networks (SDN) ===
* '''New!''' Implementing more Gavel application by exploiting Graph algorithms. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]

* '''New!''' Including a Graph Database engine into an SDN Controller. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]

* '''New!''' A graph database tuning. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]





=== Data Analysis with Bio data ===

* '''NEW! 2019 ' if you are interested in topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/?q=people/dr-mayutan-arumaithurai Mayutan Arumaithurai]

=== Data Crawling and analysis ===

* [[Large scale distributed Data crawling and analysis of a popular web service]] (B/M/P)

* '''New!''' [[Data crawling and analysis of Twitter]] (P) ([http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao])

=== Massive Data Mining and Recommender System===

* [[Data Mining of the Web : User Behavior Analysis]] (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Building the Genealogy for Researchers]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Recommender System Design]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* if you are interested in other topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

=== Social Networking(finished) ===
* '''New!''' [[Goettingen Assistant: Android App Development (assigned)]] (P) ([http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding])
* [[Topic prediction in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])
* [[Mining emotion patterns in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])
* Mining human mobility pattern from intra-city traffic data (B/M/P) ([http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding])



== Ongoing Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
|Bio-Data analysis (Student project)
|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-mayutan-arumaithurai Mayutan Arumaithurai]
|
|
| Assigned to Lindrit
|-
|Sentiment Analysis (Student project)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Beatrice Kateule
|-
| Analysis of Business Transitions: A Case Study of Yelp (Bachelor Thesis)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Marcus Thomas Khalil
|-
| Understanding Group Patterns in Q&A Services (Bachelor Thesis)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Jonas Koopmann
|-
| COPSS-lite : Lightweight ICN Based Pub/Sub for IoT Environments (Master Thesis)
| [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya]
|
|
| Assigned to Haitao Wang
|-
| A ICN Gateway for IoT (Bachelor Thesis)
| [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya]
|
|
| Assigned to Janosch Ruff
|-
|}

== Completed Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
| Personalized Recommender System Design (Master thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
| Build a personalized context-aware recommender system for customers according to their own interest.
| Completed by Haile Misgna
|-
| Emotion Patterns Analysis in OSNs (Bachelor thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang],[http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
|
| We aim to study the emotion patterns in the Twitter service and predict the future emotion status of users.
| Completed by Stefan Peters
|-
| Implementation of a pub/sub system (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen] [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to show how application layer intelligence cupled with network layer pub/sub can be beneficial to both users as well as network operators
| Completed by Sripriya
|-
| Large Scale Distributed Natural Language Document Generation System (Student project at IBM)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The work was done at IBM
| Completed by Eeran Maiti
|-
| Investigate real time streaming tools for large scale data processing (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to compare real time streaming tools.
| Completed by Ram
|-
| Software-Defined Networking and Network Operating System (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| SDN based ntwork operating system
| Completed by Rasha
|-
| GEMSTONE goes Mobile (BSc Thesis/Student Project)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of a Decentralized Online Social Network to the Android Platform
| Completed by Fabien Mathey and improved by Eeran Maiti
|-
| Transitioning of Social Graphs between Multiple Online Social Networks (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of friendship graphs between different Online Social Networks
| Completed by Kai-Stephan Jacobsen
|-
| Prevention and Mitigation of (D)DoS Attacks in Enterprise Environments (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| An analysis of enterprise infrastructures and their vulnerarbility towards attacks from the outside.
| Completed by David Kelterer
|-
| Sybils in Disguise: An Attacker View on OSN-based Sybil Defenses (Student Project and MSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| An analysis of fake detection approaches in social networks.
| Completed by Martin Schwarzmaier
|-
| Design and Implementation of a distributed OSN on Home Gateways (Student project and Master's Thesis)
|[http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
|
| Completed by Dieter Lechler
|-
|}

* For a full list of older topics please go [http://www.net.informatik.uni-goettingen.de/student_projects here].
</noinclude>

Theses and Projects

2020-05-26T10:57:24Z

Yyuan: /* Open Theses and Student Project Topics */

== Open Theses and Student Project Topics ==

The Computer Networks Group is always looking for motivated students to work on various topics. If you are interested in any of the projects below, or if you have other ideas and are willing to work with us, please don't hesitate to [mailto:net@informatik.uni-goettingen.de contact us].

* (B) Bachelor thesis
* (M) Master thesis
* (P) Student project

=== Machine Learning & deep learning on electronic healthcare records===

* '''New!'''The LoRaWAN specification is a Low Power, Wide Area (LPWA) networking protocol, which is attracting a lot of attention due to their ability to offer affordable connectivity to the low-power devices distributed over very large geographical areas. In this project, we plan to exploit the LoRaWAN technologies to improve the performance of applications in smart cities. More details can be found in link: https://ieeexplore.ieee.org/abstract/document/7815384?casa_token=c3-nAktQO-AAAAAA:EHmi8hFe-HL853Kwq8Kot-mi8KPNSahLRT-4Tp0O8pdaT0mVH_DKUYPGU9onF227eKhpPPyC1436kw Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan] (B/M/P)

=== Machine Learning & deep learning on electronic healthcare records===

* '''New!'''In recent years, large amounts of health data, such as patient Electronic Health Records (EHR), are becoming readily available. This provides an unprecedented opportunity for knowledge discovery and data mining algorithms to dig insights from them, which can, later on, be helpful to the improvement of the quality of care delivery. This project will be mainly on using machine learning to analyze electronic healthcare dataset. Please contact [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao] (B/M/P)

=== Multiple Machine Learning Tasks like User Profiling, federated learning, attention learning, privacy, and etc(finished)===

* [[Multiple machine learning tasks]] (click the link and see detailed description) Please contact [http://www.net.informatik.uni-goettingen.de/?q=people/shichang-ding Shichang Ding] (B/M/P)

===Machine Learning for Security and Privacy in Network (NEW 2019!!!)===
* '''New!''' QUIC protocol design for video streaming analysis. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan] (Assigned to Yuhan Wang and Pronaya Prosun Das)
* '''New!''' Implement algorithms for improving the network anomaly detection. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]
* '''New!''' Implement algorithms for improving the privacy of vehicle communications. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]



===QUIC or Multipath QUIC Design===
* '''New!''' Implement algorithms for improving QUIC or Multipath QUIC performance. (B/M/P, at least familiar with one programming language (eg. [https://github.com/devsisters/libquic C++], [https://github.com/lucas-clemente/quic-go go] or Python).) Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan] (Finished)

===Segment Routing based SDN===
* '''NEW! Winter 2018/2019 ''' There are many topics opened for Master and Bachelor theses and projects. Please contact [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]

=== Software Defined Networks (SDN) ===
* '''New!''' Implementing more Gavel application by exploiting Graph algorithms. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]

* '''New!''' Including a Graph Database engine into an SDN Controller. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]

* '''New!''' A graph database tuning. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]





=== Data Analysis with Bio data ===

* '''NEW! 2019 ' if you are interested in topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/?q=people/dr-mayutan-arumaithurai Mayutan Arumaithurai]

=== Data Crawling and analysis ===

* [[Large scale distributed Data crawling and analysis of a popular web service]] (B/M/P)

* '''New!''' [[Data crawling and analysis of Twitter]] (P) ([http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao])

=== Massive Data Mining and Recommender System===

* [[Data Mining of the Web : User Behavior Analysis]] (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Building the Genealogy for Researchers]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Recommender System Design]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* if you are interested in other topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

=== Social Networking(finished) ===
* '''New!''' [[Goettingen Assistant: Android App Development (assigned)]] (P) ([http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding])
* [[Topic prediction in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])
* [[Mining emotion patterns in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])
* Mining human mobility pattern from intra-city traffic data (B/M/P) ([http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding])



== Ongoing Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
|Bio-Data analysis (Student project)
|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-mayutan-arumaithurai Mayutan Arumaithurai]
|
|
| Assigned to Lindrit
|-
|Sentiment Analysis (Student project)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Beatrice Kateule
|-
| Analysis of Business Transitions: A Case Study of Yelp (Bachelor Thesis)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Marcus Thomas Khalil
|-
| Understanding Group Patterns in Q&A Services (Bachelor Thesis)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Jonas Koopmann
|-
| COPSS-lite : Lightweight ICN Based Pub/Sub for IoT Environments (Master Thesis)
| [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya]
|
|
| Assigned to Haitao Wang
|-
| A ICN Gateway for IoT (Bachelor Thesis)
| [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya]
|
|
| Assigned to Janosch Ruff
|-
|}

== Completed Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
| Personalized Recommender System Design (Master thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
| Build a personalized context-aware recommender system for customers according to their own interest.
| Completed by Haile Misgna
|-
| Emotion Patterns Analysis in OSNs (Bachelor thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang],[http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
|
| We aim to study the emotion patterns in the Twitter service and predict the future emotion status of users.
| Completed by Stefan Peters
|-
| Implementation of a pub/sub system (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen] [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to show how application layer intelligence cupled with network layer pub/sub can be beneficial to both users as well as network operators
| Completed by Sripriya
|-
| Large Scale Distributed Natural Language Document Generation System (Student project at IBM)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The work was done at IBM
| Completed by Eeran Maiti
|-
| Investigate real time streaming tools for large scale data processing (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to compare real time streaming tools.
| Completed by Ram
|-
| Software-Defined Networking and Network Operating System (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| SDN based ntwork operating system
| Completed by Rasha
|-
| GEMSTONE goes Mobile (BSc Thesis/Student Project)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of a Decentralized Online Social Network to the Android Platform
| Completed by Fabien Mathey and improved by Eeran Maiti
|-
| Transitioning of Social Graphs between Multiple Online Social Networks (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of friendship graphs between different Online Social Networks
| Completed by Kai-Stephan Jacobsen
|-
| Prevention and Mitigation of (D)DoS Attacks in Enterprise Environments (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| An analysis of enterprise infrastructures and their vulnerarbility towards attacks from the outside.
| Completed by David Kelterer
|-
| Sybils in Disguise: An Attacker View on OSN-based Sybil Defenses (Student Project and MSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| An analysis of fake detection approaches in social networks.
| Completed by Martin Schwarzmaier
|-
| Design and Implementation of a distributed OSN on Home Gateways (Student project and Master's Thesis)
|[http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
|
| Completed by Dieter Lechler
|-
|}

* For a full list of older topics please go [http://www.net.informatik.uni-goettingen.de/student_projects here].
</noinclude>

Theses and Projects

2020-05-26T09:14:57Z

Yyuan: /* Machine Learning for Security and Privacy in Network (NEW 2019!!!) */

== Open Theses and Student Project Topics ==

The Computer Networks Group is always looking for motivated students to work on various topics. If you are interested in any of the projects below, or if you have other ideas and are willing to work with us, please don't hesitate to [mailto:net@informatik.uni-goettingen.de contact us].

* (B) Bachelor thesis
* (M) Master thesis
* (P) Student project
=== Machine Learning & deep learning on electronic healthcare records===

* '''New!'''In recent years, large amounts of health data, such as patient Electronic Health Records (EHR), are becoming readily available. This provides an unprecedented opportunity for knowledge discovery and data mining algorithms to dig insights from them, which can, later on, be helpful to the improvement of the quality of care delivery. This project will be mainly on using machine learning to analyze electronic healthcare dataset. Please contact [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao] (B/M/P)

=== Multiple Machine Learning Tasks like User Profiling, federated learning, attention learning, privacy, and etc(finished)===

* [[Multiple machine learning tasks]] (click the link and see detailed description) Please contact [http://www.net.informatik.uni-goettingen.de/?q=people/shichang-ding Shichang Ding] (B/M/P)

===Machine Learning for Security and Privacy in Network (NEW 2019!!!)===
* '''New!''' QUIC protocol design for video streaming analysis. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan] (Assigned to Yuhan Wang and Pronaya Prosun Das)
* '''New!''' Implement algorithms for improving the network anomaly detection. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]
* '''New!''' Implement algorithms for improving the privacy of vehicle communications. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]



===QUIC or Multipath QUIC Design===
* '''New!''' Implement algorithms for improving QUIC or Multipath QUIC performance. (B/M/P, at least familiar with one programming language (eg. [https://github.com/devsisters/libquic C++], [https://github.com/lucas-clemente/quic-go go] or Python).) Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]

===Segment Routing based SDN===
* '''NEW! Winter 2018/2019 ''' There are many topics opened for Master and Bachelor theses and projects. Please contact [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]

=== Software Defined Networks (SDN) ===
* '''New!''' Implementing more Gavel application by exploiting Graph algorithms. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]

* '''New!''' Including a Graph Database engine into an SDN Controller. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]

* '''New!''' A graph database tuning. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]





=== Data Analysis with Bio data ===

* '''NEW! 2019 ' if you are interested in topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/?q=people/dr-mayutan-arumaithurai Mayutan Arumaithurai]

=== Data Crawling and analysis ===

* [[Large scale distributed Data crawling and analysis of a popular web service]] (B/M/P)

* '''New!''' [[Data crawling and analysis of Twitter]] (P) ([http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao])

=== Massive Data Mining and Recommender System===

* [[Data Mining of the Web : User Behavior Analysis]] (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Building the Genealogy for Researchers]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Recommender System Design]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* if you are interested in other topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

=== Social Networking(finished) ===
* '''New!''' [[Goettingen Assistant: Android App Development (assigned)]] (P) ([http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding])
* [[Topic prediction in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])
* [[Mining emotion patterns in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])
* Mining human mobility pattern from intra-city traffic data (B/M/P) ([http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding])



== Ongoing Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
|Bio-Data analysis (Student project)
|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-mayutan-arumaithurai Mayutan Arumaithurai]
|
|
| Assigned to Lindrit
|-
|Sentiment Analysis (Student project)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Beatrice Kateule
|-
| Analysis of Business Transitions: A Case Study of Yelp (Bachelor Thesis)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Marcus Thomas Khalil
|-
| Understanding Group Patterns in Q&A Services (Bachelor Thesis)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Jonas Koopmann
|-
| COPSS-lite : Lightweight ICN Based Pub/Sub for IoT Environments (Master Thesis)
| [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya]
|
|
| Assigned to Haitao Wang
|-
| A ICN Gateway for IoT (Bachelor Thesis)
| [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya]
|
|
| Assigned to Janosch Ruff
|-
|}

== Completed Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
| Personalized Recommender System Design (Master thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
| Build a personalized context-aware recommender system for customers according to their own interest.
| Completed by Haile Misgna
|-
| Emotion Patterns Analysis in OSNs (Bachelor thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang],[http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
|
| We aim to study the emotion patterns in the Twitter service and predict the future emotion status of users.
| Completed by Stefan Peters
|-
| Implementation of a pub/sub system (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen] [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to show how application layer intelligence cupled with network layer pub/sub can be beneficial to both users as well as network operators
| Completed by Sripriya
|-
| Large Scale Distributed Natural Language Document Generation System (Student project at IBM)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The work was done at IBM
| Completed by Eeran Maiti
|-
| Investigate real time streaming tools for large scale data processing (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to compare real time streaming tools.
| Completed by Ram
|-
| Software-Defined Networking and Network Operating System (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| SDN based ntwork operating system
| Completed by Rasha
|-
| GEMSTONE goes Mobile (BSc Thesis/Student Project)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of a Decentralized Online Social Network to the Android Platform
| Completed by Fabien Mathey and improved by Eeran Maiti
|-
| Transitioning of Social Graphs between Multiple Online Social Networks (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of friendship graphs between different Online Social Networks
| Completed by Kai-Stephan Jacobsen
|-
| Prevention and Mitigation of (D)DoS Attacks in Enterprise Environments (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| An analysis of enterprise infrastructures and their vulnerarbility towards attacks from the outside.
| Completed by David Kelterer
|-
| Sybils in Disguise: An Attacker View on OSN-based Sybil Defenses (Student Project and MSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| An analysis of fake detection approaches in social networks.
| Completed by Martin Schwarzmaier
|-
| Design and Implementation of a distributed OSN on Home Gateways (Student project and Master's Thesis)
|[http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
|
| Completed by Dieter Lechler
|-
|}

* For a full list of older topics please go [http://www.net.informatik.uni-goettingen.de/student_projects here].
</noinclude>

Theses and Projects

2020-05-26T09:07:16Z

Yyuan: /* Cache Replacement in Mobile Edge Computing */

== Open Theses and Student Project Topics ==

The Computer Networks Group is always looking for motivated students to work on various topics. If you are interested in any of the projects below, or if you have other ideas and are willing to work with us, please don't hesitate to [mailto:net@informatik.uni-goettingen.de contact us].

* (B) Bachelor thesis
* (M) Master thesis
* (P) Student project
=== Machine Learning & deep learning on electronic healthcare records===

* '''New!'''In recent years, large amounts of health data, such as patient Electronic Health Records (EHR), are becoming readily available. This provides an unprecedented opportunity for knowledge discovery and data mining algorithms to dig insights from them, which can, later on, be helpful to the improvement of the quality of care delivery. This project will be mainly on using machine learning to analyze electronic healthcare dataset. Please contact [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao] (B/M/P)

=== Multiple Machine Learning Tasks like User Profiling, federated learning, attention learning, privacy, and etc(finished)===

* [[Multiple machine learning tasks]] (click the link and see detailed description) Please contact [http://www.net.informatik.uni-goettingen.de/?q=people/shichang-ding Shichang Ding] (B/M/P)

===Machine Learning for Security and Privacy in Network (NEW 2019!!!)===
* '''New!''' QUIC protocol design for 360° video analysis. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]
* '''New!''' Implement algorithms for improving the network anomaly detection. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]
* '''New!''' Implement algorithms for improving the privacy of vehicle communications. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]



===QUIC or Multipath QUIC Design===
* '''New!''' Implement algorithms for improving QUIC or Multipath QUIC performance. (B/M/P, at least familiar with one programming language (eg. [https://github.com/devsisters/libquic C++], [https://github.com/lucas-clemente/quic-go go] or Python).) Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]

===Segment Routing based SDN===
* '''NEW! Winter 2018/2019 ''' There are many topics opened for Master and Bachelor theses and projects. Please contact [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]

=== Software Defined Networks (SDN) ===
* '''New!''' Implementing more Gavel application by exploiting Graph algorithms. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]

* '''New!''' Including a Graph Database engine into an SDN Controller. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]

* '''New!''' A graph database tuning. (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]





=== Data Analysis with Bio data ===

* '''NEW! 2019 ' if you are interested in topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/?q=people/dr-mayutan-arumaithurai Mayutan Arumaithurai]

=== Data Crawling and analysis ===

* [[Large scale distributed Data crawling and analysis of a popular web service]] (B/M/P)

* '''New!''' [[Data crawling and analysis of Twitter]] (P) ([http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao])

=== Massive Data Mining and Recommender System===

* [[Data Mining of the Web : User Behavior Analysis]] (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Building the Genealogy for Researchers]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Recommender System Design]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* if you are interested in other topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

=== Social Networking(finished) ===
* '''New!''' [[Goettingen Assistant: Android App Development (assigned)]] (P) ([http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding])
* [[Topic prediction in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])
* [[Mining emotion patterns in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])
* Mining human mobility pattern from intra-city traffic data (B/M/P) ([http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding])



== Ongoing Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
|Bio-Data analysis (Student project)
|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-mayutan-arumaithurai Mayutan Arumaithurai]
|
|
| Assigned to Lindrit
|-
|Sentiment Analysis (Student project)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Beatrice Kateule
|-
| Analysis of Business Transitions: A Case Study of Yelp (Bachelor Thesis)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Marcus Thomas Khalil
|-
| Understanding Group Patterns in Q&A Services (Bachelor Thesis)
|[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
|
| Assigned to Jonas Koopmann
|-
| COPSS-lite : Lightweight ICN Based Pub/Sub for IoT Environments (Master Thesis)
| [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya]
|
|
| Assigned to Haitao Wang
|-
| A ICN Gateway for IoT (Bachelor Thesis)
| [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya]
|
|
| Assigned to Janosch Ruff
|-
|}

== Completed Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
| Personalized Recommender System Design (Master thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
| Build a personalized context-aware recommender system for customers according to their own interest.
| Completed by Haile Misgna
|-
| Emotion Patterns Analysis in OSNs (Bachelor thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang],[http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
|
| We aim to study the emotion patterns in the Twitter service and predict the future emotion status of users.
| Completed by Stefan Peters
|-
| Implementation of a pub/sub system (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen] [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to show how application layer intelligence cupled with network layer pub/sub can be beneficial to both users as well as network operators
| Completed by Sripriya
|-
| Large Scale Distributed Natural Language Document Generation System (Student project at IBM)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The work was done at IBM
| Completed by Eeran Maiti
|-
| Investigate real time streaming tools for large scale data processing (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to compare real time streaming tools.
| Completed by Ram
|-
| Software-Defined Networking and Network Operating System (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| SDN based ntwork operating system
| Completed by Rasha
|-
| GEMSTONE goes Mobile (BSc Thesis/Student Project)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of a Decentralized Online Social Network to the Android Platform
| Completed by Fabien Mathey and improved by Eeran Maiti
|-
| Transitioning of Social Graphs between Multiple Online Social Networks (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of friendship graphs between different Online Social Networks
| Completed by Kai-Stephan Jacobsen
|-
| Prevention and Mitigation of (D)DoS Attacks in Enterprise Environments (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| An analysis of enterprise infrastructures and their vulnerarbility towards attacks from the outside.
| Completed by David Kelterer
|-
| Sybils in Disguise: An Attacker View on OSN-based Sybil Defenses (Student Project and MSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| An analysis of fake detection approaches in social networks.
| Completed by Martin Schwarzmaier
|-
| Design and Implementation of a distributed OSN on Home Gateways (Student project and Master's Thesis)
|[http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
|
| Completed by Dieter Lechler
|-
|}

* For a full list of older topics please go [http://www.net.informatik.uni-goettingen.de/student_projects here].
</noinclude>

Advanced Practical Course Data Science (Summer 2020)

2020-05-07T10:18:01Z

Yyuan: /* Schedule */

{{Announcement|Note: The primary platform for communication in this course will be StudIP. All materials will be uploaded there.}}

== Details ==
{{CourseDetails
|credits=180h, 6 ECTS
|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]
|time=Thursday, 16-18
|place=Ifi 2.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=248178&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcement==
22.04.2020 : We decide to use the meetings module in studip for our lectures. Please check the message in Studip.

Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of this course to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf, see: https://www.uni-goettingen.de/en/622774.html. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lecture start.

==Course Organization==
In this course, you will complete several practical tasks in the realm of data analysis. These tasks can include both exploratory (descriptive) data analysis as well as the application of machine learning algorithms to specific datasets.

While the focus of the course is strongly practical, to support students, the course will provide lectures on different aspects of practical machine learning in the early stages of the course, including:

* Introduction to the practical machine learning pipeline
* Exploratory data analysis
* The Python Data Science stack
* How to deal with unbalanced data
* Advanced algorithms for Data Science (an overview of competition winning algorithms)
* Parameter tuning for predictive models

Students need to submit their solutions to tasks by specific deadlines throughout the course. Note that this course thus requires a continuous effort throughout the whole semester.
Solutions for each task have to be presented in class. A final report needs to be submitted at the end of the semester (September 30).

==Prerequisites==
*You are ''highly recommended'' to have completed a course on Data Science (e.g., "[https://www.swe.informatik.uni-goettingen.de/lectures/data-science-and-big-data-analytics-ws2015 Data Science and Big Data Analytics" taught by Dr. Steffen Herbold] or the Course "Machine Learning" by Stanford University) before entering this course. You need to be familiar with basic statistics (distributions, p/t/z-tests, etc.) and a range of machine learning algorithms (linear/logistic/lasso regression, k-means clustering, k-NN classification etc.).
*Knowledge of any of the following languages: Python (course language), R, JAVA, Matlab or any language that features proper machine learning libraries

==Schedule==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''When?'''
|{{Hl2}} |'''What?'''
|-
| align="right" | 23.04.2020
| Lecture 1: Introduction & The Data Science Pipeline
|-
| align="right" | 30.04.2020
| Lecture 2: The Python Data Science Stack - Task 1: Release
|-
| align="right" | 07.05.2020
| No lecture
|-
| align="right" | 14.05.2020
| Task 1: Intermediate meeting
|-
| align="right" | 21.05.2020
| No lecture // Task 1 report submission
|-
| align="right" | 28.05.2020
| Lecture 3: Advanced Algorithms for Data Science // Task 2: release
|-
| align="right" | 04.06.2020
| No lecture
|-
| align="right" | 11.06.2020
| Lecture 4: Evaluation and Tuning of Models // Task 2 report submission // Task 3: release
|-
| align="right" | 18.06.2020
| No lecture
|-
| align="right" | 25.06.2020
| No lecture
|-
| align="right" | 02.07.2020
| Task 3: Intermediate meeting I
|-
| align="right" | 09.07.2020
| No lecture
|-
| align="right" | 16.07.2020
| Task 3: Intermediate meeting II ('''FlexNow Registration Deadline''')
|-
| align="right" | 23.07.2020
| No lecture
|-
| align="right" | 30.07.2020 (online)
| Task 3: Presentations (Final Presentation)
|-
| align="right" | 20.08.2020
| Final Report deadline (Including report and code)
|-
|}

Advanced Practical Course Data Science (Summer 2020)

2020-05-07T10:16:14Z

Yyuan: /* Schedule */

{{Announcement|Note: The primary platform for communication in this course will be StudIP. All materials will be uploaded there.}}

== Details ==
{{CourseDetails
|credits=180h, 6 ECTS
|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]
|time=Thursday, 16-18
|place=Ifi 2.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=248178&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcement==
22.04.2020 : We decide to use the meetings module in studip for our lectures. Please check the message in Studip.

Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of this course to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf, see: https://www.uni-goettingen.de/en/622774.html. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lecture start.

==Course Organization==
In this course, you will complete several practical tasks in the realm of data analysis. These tasks can include both exploratory (descriptive) data analysis as well as the application of machine learning algorithms to specific datasets.

While the focus of the course is strongly practical, to support students, the course will provide lectures on different aspects of practical machine learning in the early stages of the course, including:

* Introduction to the practical machine learning pipeline
* Exploratory data analysis
* The Python Data Science stack
* How to deal with unbalanced data
* Advanced algorithms for Data Science (an overview of competition winning algorithms)
* Parameter tuning for predictive models

Students need to submit their solutions to tasks by specific deadlines throughout the course. Note that this course thus requires a continuous effort throughout the whole semester.
Solutions for each task have to be presented in class. A final report needs to be submitted at the end of the semester (September 30).

==Prerequisites==
*You are ''highly recommended'' to have completed a course on Data Science (e.g., "[https://www.swe.informatik.uni-goettingen.de/lectures/data-science-and-big-data-analytics-ws2015 Data Science and Big Data Analytics" taught by Dr. Steffen Herbold] or the Course "Machine Learning" by Stanford University) before entering this course. You need to be familiar with basic statistics (distributions, p/t/z-tests, etc.) and a range of machine learning algorithms (linear/logistic/lasso regression, k-means clustering, k-NN classification etc.).
*Knowledge of any of the following languages: Python (course language), R, JAVA, Matlab or any language that features proper machine learning libraries

==Schedule==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''When?'''
|{{Hl2}} |'''What?'''
|-
| align="right" | 23.04.2020
| Lecture 1: Introduction & The Data Science Pipeline
|-
| align="right" | 30.04.2020
| Lecture 2: The Python Data Science Stack - Task 1: Release
|-
| align="right" | 07.05.2020
| No lecture
|-
| align="right" | 14.05.2020
| Task 1: Intermediate meeting
|-
| align="right" | 21.05.2020
| No lecture // Task 1 report submission
|-
| align="right" | 28.05.2020
| Lecture 3: Advanced Algorithms for Data Science // Task 2: release
|-
| align="right" | 04.06.2020
| No lecture
|-
| align="right" | 11.06.2020
| Lecture 4: Evaluation and Tuning of Models // Task 2 report submission // Task 3: release
|-
| align="right" | 18.06.2020
| No lecture
|-
| align="right" | 25.06.2020
| No lecture
|-
| align="right" | 02.07.2020
| Task 3: Intermediate meeting I
|-
| align="right" | 09.07.2020
| No lecture
|-
| align="right" | 16.07.2020
| Task 3: Intermediate meeting II
|-
| align="right" | 23.07.2020
| No lecture
|-
| align="right" | 30.07.2020 (online)
| Task 3: Presentations (Final Presentation)
|-
| align="right" | 20.08.2020
| Final Report deadline (Including report and code)
|-
|}

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-05-07T10:15:07Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': July 9th 2020.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2020)

2020-05-06T20:15:57Z

Yyuan: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao]
|time= '''Please read this introduction slide (https://drive.google.com/open?id=1jNZ-k8WSu4tP6bMHvY73FBoUXdrXNLql). If there is any question, please contact teaching assistants.'''
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=262017&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}
{{Announcement|Note: There will be no introduction lecture. Please refer to the attached Introduction slides and this page for all the information regarding the course and contact the teaching assistants via E-mail for any further questions.''' Please register the course before 04.20.'''
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* There will be no introduction meeting. Please read the introduction slides and contact the teaching assistants if you have any further questions.
* '''June. 20''' : Deadline for registration (Tentative)
* '''July. 2 and July. 3, 13:00-17:00''': Presentations, highly likely through '''Zoom '''instead of a face-to-face presentation in the IFI Building, Room 1.101. This time may be postponed. We will update it in due time, please keep checking the site to stay up to date.
* '''Sep. 30, 2019, 23:59''': Deadline for submission of the report (should be sent to the topic adviser through E-mail!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| Knowledge Graph for Recommendation System(Akshay Katyal)
| The success of the recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals. To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions. To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Have basic knowledge for deep learning. Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [https://www.google.com/search?q=kgat&oq=kgat&aqs=chrome..69i57j0l7.791j0j4&sourceid=chrome&ie=UTF-8]
|-
| Empirical study for QUIC Protocol (Emmanuel Charleson Dapaah)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Anomaly Detection for Road Traffic (Samiur Rahman)
| Anomaly detection on road traffic has vast application prospects in urban traffic management and road safety. Due to the impact of many factors such as weather, viewpoints and road conditions in the real-world traffic scene, anomaly detection still faces many challenges. There are many causes for vehicle anomalies, such as crashes, vehicle on fires and vehicle faults, which exhibits different unknown behaviors. In this course, we need to learn efficient anomaly detection systems of the state-of-the-art and understand their design and implementation.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://github.com/ShuaiBai623/AI-City-Anomaly-Detection]
|-
| Multimodal Deep Learning for Image and Text Datasets (Grigor Davtyan)
| Learning semantic correspondence between image and text is significant as it bridges the semantic gap between vision and language. This course requires students to learn efficient multimodal deep learning for image and text datasets.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://dl.acm.org/doi/abs/10.1145/3343031.3350869]
|-
| Failure recovery from the breakpoint in service function chain
| As we all know, if the packets are dropped in network, we need to retransmit them from the sender. However, in service function chain, failure links or nodes may drop packets that have already been processed by upstream NFs, retransmission from the sender may result in wasted work in the service chain. If we use SRv6 to steer traffic along with SFC, we could easily know the IP address of upstream NF, then we can leverages this information to realize in-network recovery. This project focuses on realizing in-network recovery with SRv6.
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be soloved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new assignment problem
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Wireless Moving Video Surveillance System
| Artificial Intelligence has been and is going to be popular for many years. Static object detection, recognition technique has been studied for many years. However, how these techniques work in a dynamic environment (eg. Self-driving ) is not clear. In this topic, we want to reveal which kind of technique performs better in a video surveillance system with limited computing and network resources. Based on this, our goal is to develop a real Wireless Moving Video Surveillance System which including video analysis, wireless data delivery, and data compression and fusion. Fortunately, we already have some preliminary work.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers. Interested in embedded development, we will use Raspberry Pi and NVIDIA Jetson Nano Developer Kit. Have Fun With This Project!
| [Weijun Wang, weijun.wang@cs.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/Bahl-MobiCom-2015.pdf]
|-
| Learning Combinatorial Optimization Algorithms on VRP problem (Ismot Jerin)
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be solved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new Vihecl Routing Problem.
| The student should be familiar with TSP, Matching, and Integer linear programming
| [Weijun Wangn, weijun.wang@cs.uni-goettingen.de]
|
|-
| Advancements in the field of Video streaming technologies (Assigned to: Maxim Gkanoliak)
| In this topic the student will perform a survey of the exsting and upcoming video streaming technologies and provide a detailed report containing a comparison among these technologies. The student will also have to implement these technologies and perform experiments and report the findings.
| The student should be familiar with video streaming technologies like ABR, DASH, VBR and programming languages like Java and Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao]
|
|-
|-
| Imbalance learning in Healthcare area
| Imbalance learning is an imbalanced classification problem where the learning phase and the prediction perfromance can be affected by the imbalance dataset. While the imbalance distribution of dataset is very common, student could implement imbalance learning methods in different healthcare area and finish a report on imbalance learning methods in healthcare area.
| The student should be familiar with Machine learning and programming languages Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
|
|-
|-
| Advancements and challenges in Visible Light Communication (VLC)
| Traditional wireless communications are based on microwave transmission, which is facing the challenge of rapidly increasing number of devices, as well as the amount of data transmission. White LED offers advantageous properties such as high brightness, reliability, lower power consumption and long lifetime. White LEDs are already widely applied in the current generation of lamps. If it could be used as wireless communication, many exsiting problems of wireless communication like high power comsumption, low security and unreliability.
| The student should be familiar with basic wireless communication knowledge.
| [Jiaquan Zhang (jzhang@cs.uni-goettingen.de)]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, an overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Advanced Practical Course Data Science (Winter 2019/2020)

2020-05-04T13:54:54Z

Yyuan: /* Schedule */

{{Announcement|Note: The primary platform for communication in this course will be StudIP. All materials will be uploaded there.}}

== Details ==
{{CourseDetails
|credits=180h, 6 ECTS
|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]; [http://www.net.informatik.uni-goettingen.de/?q=people/shuai-xu Shuai Xu]
|time=Friday, 16-18
|place=Ifi 2.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&veranstaltung.veranstid=253765 link]
}}

==Course Organization==
In this course, you will complete several practical tasks in the realm of data analysis. These tasks can include both exploratory (descriptive) data analysis as well as the application of machine learning algorithms to specific datasets.

While the focus of the course is strongly practical, to support students, the course will provide lectures on different aspects of practical machine learning in the early stages of the course, including:

* Introduction to the practical machine learning pipeline
* Exploratory data analysis
* The Python Data Science stack
* How to deal with unbalanced data
* Advanced algorithms for Data Science (an overview of competition winning algorithms)
* Parameter tuning for predictive models

Students need to submit their solutions to tasks by specific deadlines throughout the course. Note that this course thus requires a continuous effort throughout the whole semester.
Solutions for each task have to be presented in class. A final report needs to be submitted at the end of the semester.

==Prerequisites==
*You are ''highly recommended'' to have completed a course on Data Science (e.g., "[https://www.swe.informatik.uni-goettingen.de/lectures/data-science-and-big-data-analytics-ws2015 Data Science and Big Data Analytics" taught by Dr. Steffen Herbold] or the Course "Machine Learning" by Stanford University) before entering this course. You need to be familiar with basic statistics (distributions, p/t/z-tests, etc.) and a range of machine learning algorithms (linear/logistic/lasso regression, k-means clustering, k-NN classification etc.).
*Knowledge of any of the following languages: Python (course language), R, JAVA, Matlab or any language that features proper machine learning libraries

----
==Schedule==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''When?'''
|{{Hl2}} |'''What?'''
|-
| align="right" | 25.10.2019
| Lecture 1: Introduction & The Data Science Pipeline - Task 1: Release
|-
| align="right" | 01.11.2019
| No lecture
|-
| align="right" | 08.11.2019
| Lecture 2: The Python Data Science Stack
|-
| align="right" | 15.11.2019
| Task 1: Intermediate meeting
|-
| align="right" | 22.11.2019
| Lecture 3: Advanced Algorithms for Data Science // Task 1 report submission // Task 2: release
|-
| align="right" | 29.11.2019
| No lecture
|-
| align="right" | 06.12.2019
| No lecture
|-
| align="right" | 13.12.2019
| Lecture 4: Evaluation and Tuning of Models // Task 2 report submission // Task 3: release
|-
| align="right" | 20.12.2019
| No lecture
|-
| align="right" | 27.12.2019
| No lecture
|-
| align="right" | 03.01.2020
| No lecture
|-
| align="right" | 10.01.2020
| Task 3: Intermediate meeting I
|-
| align="right" | 17.01.2020
| No lecture
|-
| align="right" | 24.01.2020
| No lecture
|-
| align="right" | 31.01.2020
| Task 3: Intermediate meeting II
|-
| align="right" | 31.01.2020 07.02.2020
| Task 3: Presentations (Final Presentation)
|-
| align="right" | 05.05.2020
| Final Report deadline (Including report and code)
|-
|}

Seminar on Internet Technologies (Summer 2020)

2020-04-28T13:22:58Z

Yyuan: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao]
|time= '''Please read this introduction slide (https://drive.google.com/open?id=1jNZ-k8WSu4tP6bMHvY73FBoUXdrXNLql). If there is any question, please contact teaching assistants.'''
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=251477&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20201&idcol=k_semester.semid&idval=20201&getglobal=semester]
}}
{{Announcement|Note: There will be no introduction lecture. Please refer to the attached Introduction slides and this page for all the information regarding the course and contact the teaching assistants via E-mail for any further questions.''' Please register the course before 04.20.'''
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* There will be no introduction meeting. Please read the introduction slides and contact the teaching assistants if you have any further questions.
* '''June. 20''' : Deadline for registration (Tentative)
* '''July. 2 and July. 3, 13:00-17:00''': Presentations, highly likely through '''Zoom '''instead of a face-to-face presentation in the IFI Building, Room 1.101. This time may be postponed. We will update it in due time, please keep checking the site to stay up to date.
* '''Sep. 30, 2019, 23:59''': Deadline for submission of the report (should be sent to the topic adviser through E-mail!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| Knowledge Graph for Recommendation System(Akshay Katyal)
| The success of the recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals. To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions. To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Have basic knowledge for deep learning. Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [https://www.google.com/search?q=kgat&oq=kgat&aqs=chrome..69i57j0l7.791j0j4&sourceid=chrome&ie=UTF-8]
|-
| Empirical study for QUIC Protocol (Emmanuel Charleson Dapaah)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Anomaly Detection for Road Traffic (Samiur Rahman)
| Anomaly detection on road traffic has vast application prospects in urban traffic management and road safety. Due to the impact of many factors such as weather, viewpoints and road conditions in the real-world traffic scene, anomaly detection still faces many challenges. There are many causes for vehicle anomalies, such as crashes, vehicle on fires and vehicle faults, which exhibits different unknown behaviors. In this course, we need to learn efficient anomaly detection systems of the state-of-the-art and understand their design and implementation.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://github.com/ShuaiBai623/AI-City-Anomaly-Detection]
|-
| Failure recovery from the breakpoint in service function chain
| As we all know, if the packets are dropped in network, we need to retransmit them from the sender. However, in service function chain, failure links or nodes may drop packets that have already been processed by upstream NFs, retransmission from the sender may result in wasted work in the service chain. If we use SRv6 to steer traffic along with SFC, we could easily know the IP address of upstream NF, then we can leverages this information to realize in-network recovery. This project focuses on realizing in-network recovery with SRv6.
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be soloved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new assignment problem
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Wireless Moving Video Surveillance System
| Artificial Intelligence has been and is going to be popular for many years. Static object detection, recognition technique has been studied for many years. However, how these techniques work in a dynamic environment (eg. Self-driving ) is not clear. In this topic, we want to reveal which kind of technique performs better in a video surveillance system with limited computing and network resources. Based on this, our goal is to develop a real Wireless Moving Video Surveillance System which including video analysis, wireless data delivery, and data compression and fusion. Fortunately, we already have some preliminary work.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers. Interested in embedded development, we will use Raspberry Pi and NVIDIA Jetson Nano Developer Kit. Have Fun With This Project!
| [Weijun Wang, weijun.wang@cs.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/Bahl-MobiCom-2015.pdf]
|-
| Learning Combinatorial Optimization Algorithms on VRP problem (Ismot Jerin)
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be solved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new Vihecl Routing Problem.
| The student should be familiar with TSP, Matching, and Integer linear programming
| [Weijun Wangn, weijun.wang@cs.uni-goettingen.de]
|
|-
| Advancements in the field of Video streaming technologies (Assigned to: Maxim Gkanoliak)
| In this topic the student will perform a survey of the exsting and upcoming video streaming technologies and provide a detailed report containing a comparison among these technologies. The student will also have to implement these technologies and perform experiments and report the findings.
| The student should be familiar with video streaming technologies like ABR, DASH, VBR and programming languages like Java and Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao]
|
|-
|-
| Imbalance learning in Healthcare area
| Imbalance learning is an imbalanced classification problem where the learning phase and the prediction perfromance can be affected by the imbalance dataset. While the imbalance distribution of dataset is very common, student could implement imbalance learning methods in different healthcare area and finish a report on imbalance learning methods in healthcare area.
| The student should be familiar with Machine learning and programming languages Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
|
|-
|-
| Advancements and challenges in Visible Light Communication (VLC)
| Traditional wireless communications are based on microwave transmission, which is facing the challenge of rapidly increasing number of devices, as well as the amount of data transmission. White LED offers advantageous properties such as high brightness, reliability, lower power consumption and long lifetime. White LEDs are already widely applied in the current generation of lamps. If it could be used as wireless communication, many exsiting problems of wireless communication like high power comsumption, low security and unreliability.
| The student should be familiar with basic wireless communication knowledge.
| [Jiaquan Zhang (jzhang@cs.uni-goettingen.de)]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, an overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2020)

2020-04-28T13:21:36Z

Yyuan: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao]
|time= '''Please read this introduction slide (https://drive.google.com/open?id=1jNZ-k8WSu4tP6bMHvY73FBoUXdrXNLql). If there is any question, please contact teaching assistants.'''
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=251477&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20201&idcol=k_semester.semid&idval=20201&getglobal=semester]
}}
{{Announcement|Note: There will be no introduction lecture. Please refer to the attached Introduction slides and this page for all the information regarding the course and contact the teaching assistants via E-mail for any further questions.''' Please register the course before 04.20.'''
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* There will be no introduction meeting. Please read the introduction slides and contact the teaching assistants if you have any further questions.
* '''June. 20''' : Deadline for registration (Tentative)
* '''July. 2 and July. 3, 13:00-17:00''': Presentations, highly likely through '''Zoom '''instead of a face-to-face presentation in the IFI Building, Room 1.101. This time may be postponed. We will update it in due time, please keep checking the site to stay up to date.
* '''Sep. 30, 2019, 23:59''': Deadline for submission of the report (should be sent to the topic adviser through E-mail!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| Knowledge Graph for Recommendation System(Akshay Katyal)
| The success of the recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals. To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions. To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Have basic knowledge for deep learning. Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [https://www.google.com/search?q=kgat&oq=kgat&aqs=chrome..69i57j0l7.791j0j4&sourceid=chrome&ie=UTF-8]
|-
| Empirical study for QUIC Protocol (Emmanuel Charleson Dapaah)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Anomaly Detection for Road Traffic (Samiur Rahman)
| Anomaly detection on road traffic has vast application prospects in urban traffic management and road safety. Due to the impact of many factors such as weather, viewpoints and road conditions in the real-world traffic scene, anomaly detection still faces many challenges. There are many causes for vehicle anomalies, such as crashes, vehicle on fires and vehicle faults, which exhibits different unknown behaviors. In this course, we need to learn efficient anomaly detection systems of the state-of-the-art and understand their design and implementation.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://github.com/ShuaiBai623/AI-City-Anomaly-Detection]
|-
| Failure recovery from the breakpoint in service function chain
| As we all know, if the packets are dropped in network, we need to retransmit them from the sender. However, in service function chain, failure links or nodes may drop packets that have already been processed by upstream NFs, retransmission from the sender may result in wasted work in the service chain. If we use SRv6 to steer traffic along with SFC, we could easily know the IP address of upstream NF, then we can leverages this information to realize in-network recovery. This project focuses on realizing in-network recovery with SRv6.
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be soloved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new assignment problem
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Wireless Moving Video Surveillance System
| Artificial Intelligence has been and is going to be popular for many years. Static object detection, recognition technique has been studied for many years. However, how these techniques work in a dynamic environment (eg. Self-driving ) is not clear. In this topic, we want to reveal which kind of technique performs better in a video surveillance system with limited computing and network resources. Based on this, our goal is to develop a real Wireless Moving Video Surveillance System which including video analysis, wireless data delivery, and data compression and fusion. Fortunately, we already have some preliminary work.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers. Interested in embedded development, we will use Raspberry Pi and NVIDIA Jetson Nano Developer Kit. Have Fun With This Project!
| [Weijun Wang, weijun.wang@cs.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/Bahl-MobiCom-2015.pdf]
|-
| Learning Combinatorial Optimization Algorithms over Graphs (Ismot Jerin)
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be solved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new Vihecl Routing Problem.
| The student should be familiar with TSP, Matching, and Integer linear programming
| [Weijun Wangn, weijun.wang@cs.uni-goettingen.de]
|
|-
| Advancements in the field of Video streaming technologies (Assigned to: Maxim Gkanoliak)
| In this topic the student will perform a survey of the exsting and upcoming video streaming technologies and provide a detailed report containing a comparison among these technologies. The student will also have to implement these technologies and perform experiments and report the findings.
| The student should be familiar with video streaming technologies like ABR, DASH, VBR and programming languages like Java and Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao]
|
|-
|-
| Imbalance learning in Healthcare area
| Imbalance learning is an imbalanced classification problem where the learning phase and the prediction perfromance can be affected by the imbalance dataset. While the imbalance distribution of dataset is very common, student could implement imbalance learning methods in different healthcare area and finish a report on imbalance learning methods in healthcare area.
| The student should be familiar with Machine learning and programming languages Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
|
|-
|-
| Advancements and challenges in Visible Light Communication (VLC)
| Traditional wireless communications are based on microwave transmission, which is facing the challenge of rapidly increasing number of devices, as well as the amount of data transmission. White LED offers advantageous properties such as high brightness, reliability, lower power consumption and long lifetime. White LEDs are already widely applied in the current generation of lamps. If it could be used as wireless communication, many exsiting problems of wireless communication like high power comsumption, low security and unreliability.
| The student should be familiar with basic wireless communication knowledge.
| [Jiaquan Zhang (jzhang@cs.uni-goettingen.de)]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, an overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2020)

2020-04-28T13:18:48Z

Yyuan: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao]
|time= '''Please read this introduction slide (https://drive.google.com/open?id=1jNZ-k8WSu4tP6bMHvY73FBoUXdrXNLql). If there is any question, please contact teaching assistants.'''
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=251477&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20201&idcol=k_semester.semid&idval=20201&getglobal=semester]
}}
{{Announcement|Note: There will be no introduction lecture. Please refer to the attached Introduction slides and this page for all the information regarding the course and contact the teaching assistants via E-mail for any further questions.''' Please register the course before 04.20.'''
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* There will be no introduction meeting. Please read the introduction slides and contact the teaching assistants if you have any further questions.
* '''June. 20''' : Deadline for registration (Tentative)
* '''July. 2 and July. 3, 13:00-17:00''': Presentations, highly likely through '''Zoom '''instead of a face-to-face presentation in the IFI Building, Room 1.101. This time may be postponed. We will update it in due time, please keep checking the site to stay up to date.
* '''Sep. 30, 2019, 23:59''': Deadline for submission of the report (should be sent to the topic adviser through E-mail!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| Knowledge Graph for Recommendation System(Akshay Katyal)
| The success of the recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals. To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions. To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Have basic knowledge for deep learning. Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [https://www.google.com/search?q=kgat&oq=kgat&aqs=chrome..69i57j0l7.791j0j4&sourceid=chrome&ie=UTF-8]
|-
| Empirical study for QUIC Protocol (Emmanuel Charleson Dapaah)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Anomaly Detection for Road Traffic (Samiur Rahman)
| Anomaly detection on road traffic has vast application prospects in urban traffic management and road safety. Due to the impact of many factors such as weather, viewpoints and road conditions in the real-world traffic scene, anomaly detection still faces many challenges. There are many causes for vehicle anomalies, such as crashes, vehicle on fires and vehicle faults, which exhibits different unknown behaviors. In this course, we need to learn efficient anomaly detection systems of the state-of-the-art and understand their design and implementation.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://github.com/ShuaiBai623/AI-City-Anomaly-Detection]
|-
| Failure recovery from the breakpoint in service function chain
| As we all know, if the packets are dropped in network, we need to retransmit them from the sender. However, in service function chain, failure links or nodes may drop packets that have already been processed by upstream NFs, retransmission from the sender may result in wasted work in the service chain. If we use SRv6 to steer traffic along with SFC, we could easily know the IP address of upstream NF, then we can leverages this information to realize in-network recovery. This project focuses on realizing in-network recovery with SRv6.
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Learning Combinatorial Optimization Algorithms over Graphs (Ismot Jerin)
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be soloved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new assignment problem
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Wireless Moving Video Surveillance System
| Artificial Intelligence has been and is going to be popular for many years. Static object detection, recognition technique has been studied for many years. However, how these techniques work in a dynamic environment (eg. Self-driving ) is not clear. In this topic, we want to reveal which kind of technique performs better in a video surveillance system with limited computing and network resources. Based on this, our goal is to develop a real Wireless Moving Video Surveillance System which including video analysis, wireless data delivery, and data compression and fusion. Fortunately, we already have some preliminary work.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers. Interested in embedded development, we will use Raspberry Pi and NVIDIA Jetson Nano Developer Kit. Have Fun With This Project!
| [Weijun Wang, weijun.wang@cs.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/Bahl-MobiCom-2015.pdf]
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be solved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new Vihecl Routing Problem.
| The student should be familiar with TSP, Matching, and Integer linear programming
| [Weijun Wangn, weijun.wang@cs.uni-goettingen.de]
|
|-
| Advancements in the field of Video streaming technologies (Assigned to: Maxim Gkanoliak)
| In this topic the student will perform a survey of the exsting and upcoming video streaming technologies and provide a detailed report containing a comparison among these technologies. The student will also have to implement these technologies and perform experiments and report the findings.
| The student should be familiar with video streaming technologies like ABR, DASH, VBR and programming languages like Java and Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao]
|
|-
|-
| Imbalance learning in Healthcare area
| Imbalance learning is an imbalanced classification problem where the learning phase and the prediction perfromance can be affected by the imbalance dataset. While the imbalance distribution of dataset is very common, student could implement imbalance learning methods in different healthcare area and finish a report on imbalance learning methods in healthcare area.
| The student should be familiar with Machine learning and programming languages Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
|
|-
|-
| Advancements and challenges in Visible Light Communication (VLC)
| Traditional wireless communications are based on microwave transmission, which is facing the challenge of rapidly increasing number of devices, as well as the amount of data transmission. White LED offers advantageous properties such as high brightness, reliability, lower power consumption and long lifetime. White LEDs are already widely applied in the current generation of lamps. If it could be used as wireless communication, many exsiting problems of wireless communication like high power comsumption, low security and unreliability.
| The student should be familiar with basic wireless communication knowledge.
| [Jiaquan Zhang (jzhang@cs.uni-goettingen.de)]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, an overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2020)

2020-04-28T13:17:39Z

Yyuan: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao]
|time= '''Please read this introduction slide (https://drive.google.com/open?id=1jNZ-k8WSu4tP6bMHvY73FBoUXdrXNLql). If there is any question, please contact teaching assistants.'''
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=251477&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20201&idcol=k_semester.semid&idval=20201&getglobal=semester]
}}
{{Announcement|Note: There will be no introduction lecture. Please refer to the attached Introduction slides and this page for all the information regarding the course and contact the teaching assistants via E-mail for any further questions.''' Please register the course before 04.20.'''
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* There will be no introduction meeting. Please read the introduction slides and contact the teaching assistants if you have any further questions.
* '''June. 20''' : Deadline for registration (Tentative)
* '''July. 2 and July. 3, 13:00-17:00''': Presentations, highly likely through '''Zoom '''instead of a face-to-face presentation in the IFI Building, Room 1.101. This time may be postponed. We will update it in due time, please keep checking the site to stay up to date.
* '''Sep. 30, 2019, 23:59''': Deadline for submission of the report (should be sent to the topic adviser through E-mail!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| Knowledge Graph for Recommendation System(Akshay Katyal)
| The success of the recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals. To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions. To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Have basic knowledge for deep learning. Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [https://www.google.com/search?q=kgat&oq=kgat&aqs=chrome..69i57j0l7.791j0j4&sourceid=chrome&ie=UTF-8]
|-
| Empirical study for QUIC Protocol (Emmanuel Charleson Dapaah)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Anomaly Detection for Road Traffic(Samiur Rahman)
| Anomaly detection on road traffic has vast application prospects in urban traffic management and road safety. Due to the impact of many factors such as weather, viewpoints and road conditions in the real-world traffic scene, anomaly detection still faces many challenges. There are many causes for vehicle anomalies, such as crashes, vehicle on fires and vehicle faults, which exhibits different unknown behaviors. In this course, we need to learn efficient anomaly detection systems of the state-of-the-art and understand their design and implementation.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://github.com/ShuaiBai623/AI-City-Anomaly-Detection]
|-
| Failure recovery from the breakpoint in service function chain
| As we all know, if the packets are dropped in network, we need to retransmit them from the sender. However, in service function chain, failure links or nodes may drop packets that have already been processed by upstream NFs, retransmission from the sender may result in wasted work in the service chain. If we use SRv6 to steer traffic along with SFC, we could easily know the IP address of upstream NF, then we can leverages this information to realize in-network recovery. This project focuses on realizing in-network recovery with SRv6.
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Learning Combinatorial Optimization Algorithms over Graphs (Ismot Jerin)
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be soloved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new assignment problem
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Wireless Moving Video Surveillance System
| Artificial Intelligence has been and is going to be popular for many years. Static object detection, recognition technique has been studied for many years. However, how these techniques work in a dynamic environment (eg. Self-driving ) is not clear. In this topic, we want to reveal which kind of technique performs better in a video surveillance system with limited computing and network resources. Based on this, our goal is to develop a real Wireless Moving Video Surveillance System which including video analysis, wireless data delivery, and data compression and fusion. Fortunately, we already have some preliminary work.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers. Interested in embedded development, we will use Raspberry Pi and NVIDIA Jetson Nano Developer Kit. Have Fun With This Project!
| [Weijun Wang, weijun.wang@cs.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/Bahl-MobiCom-2015.pdf]
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be solved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new Vihecl Routing Problem.
| The student should be familiar with TSP, Matching, and Integer linear programming
| [Weijun Wangn, weijun.wang@cs.uni-goettingen.de]
|
|-
| Advancements in the field of Video streaming technologies (Assigned to: Maxim Gkanoliak)
| In this topic the student will perform a survey of the exsting and upcoming video streaming technologies and provide a detailed report containing a comparison among these technologies. The student will also have to implement these technologies and perform experiments and report the findings.
| The student should be familiar with video streaming technologies like ABR, DASH, VBR and programming languages like Java and Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao]
|
|-
|-
| Imbalance learning in Healthcare area
| Imbalance learning is an imbalanced classification problem where the learning phase and the prediction perfromance can be affected by the imbalance dataset. While the imbalance distribution of dataset is very common, student could implement imbalance learning methods in different healthcare area and finish a report on imbalance learning methods in healthcare area.
| The student should be familiar with Machine learning and programming languages Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
|
|-
|-
| Advancements and challenges in Visible Light Communication (VLC)
| Traditional wireless communications are based on microwave transmission, which is facing the challenge of rapidly increasing number of devices, as well as the amount of data transmission. White LED offers advantageous properties such as high brightness, reliability, lower power consumption and long lifetime. White LEDs are already widely applied in the current generation of lamps. If it could be used as wireless communication, many exsiting problems of wireless communication like high power comsumption, low security and unreliability.
| The student should be familiar with basic wireless communication knowledge.
| [Jiaquan Zhang (jzhang@cs.uni-goettingen.de)]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, an overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2020)

2020-04-28T13:10:34Z

Yyuan: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao]
|time= '''Please read this introduction slide (https://drive.google.com/open?id=1jNZ-k8WSu4tP6bMHvY73FBoUXdrXNLql). If there is any question, please contact teaching assistants.'''
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=251477&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20201&idcol=k_semester.semid&idval=20201&getglobal=semester]
}}
{{Announcement|Note: There will be no introduction lecture. Please refer to the attached Introduction slides and this page for all the information regarding the course and contact the teaching assistants via E-mail for any further questions.''' Please register the course before 04.20.'''
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* There will be no introduction meeting. Please read the introduction slides and contact the teaching assistants if you have any further questions.
* '''June. 20''' : Deadline for registration (Tentative)
* '''July. 2 and July. 3, 13:00-17:00''': Presentations, highly likely through '''Zoom '''instead of a face-to-face presentation in the IFI Building, Room 1.101. This time may be postponed. We will update it in due time, please keep checking the site to stay up to date.
* '''Sep. 30, 2019, 23:59''': Deadline for submission of the report (should be sent to the topic adviser through E-mail!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| Knowledge Graph for Recommendation System(Akshay Katyal)
| The success of the recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals. To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions. To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Have basic knowledge for deep learning. Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [https://www.google.com/search?q=kgat&oq=kgat&aqs=chrome..69i57j0l7.791j0j4&sourceid=chrome&ie=UTF-8]
|-
| Empirical study for QUIC Protocol (Emmanuel Charleson Dapaah)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Anomaly Detection for Road Traffic(assigned)
| Anomaly detection on road traffic has vast application prospects in urban traffic management and road safety. Due to the impact of many factors such as weather, viewpoints and road conditions in the real-world traffic scene, anomaly detection still faces many challenges. There are many causes for vehicle anomalies, such as crashes, vehicle on fires and vehicle faults, which exhibits different unknown behaviors. In this course, we need to learn efficient anomaly detection systems of the state-of-the-art and understand their design and implementation.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://github.com/ShuaiBai623/AI-City-Anomaly-Detection]
|-
| Failure recovery from the breakpoint in service function chain
| As we all know, if the packets are dropped in network, we need to retransmit them from the sender. However, in service function chain, failure links or nodes may drop packets that have already been processed by upstream NFs, retransmission from the sender may result in wasted work in the service chain. If we use SRv6 to steer traffic along with SFC, we could easily know the IP address of upstream NF, then we can leverages this information to realize in-network recovery. This project focuses on realizing in-network recovery with SRv6.
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Learning Combinatorial Optimization Algorithms over Graphs (Ismot Jerin)
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be soloved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new assignment problem
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Wireless Moving Video Surveillance System
| Artificial Intelligence has been and is going to be popular for many years. Static object detection, recognition technique has been studied for many years. However, how these techniques work in a dynamic environment (eg. Self-driving ) is not clear. In this topic, we want to reveal which kind of technique performs better in a video surveillance system with limited computing and network resources. Based on this, our goal is to develop a real Wireless Moving Video Surveillance System which including video analysis, wireless data delivery, and data compression and fusion. Fortunately, we already have some preliminary work.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers. Interested in embedded development, we will use Raspberry Pi and NVIDIA Jetson Nano Developer Kit. Have Fun With This Project!
| [Weijun Wang, weijun.wang@cs.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/Bahl-MobiCom-2015.pdf]
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be solved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new Vihecl Routing Problem.
| The student should be familiar with TSP, Matching, and Integer linear programming
| [Weijun Wangn, weijun.wang@cs.uni-goettingen.de]
|
|-
| Advancements in the field of Video streaming technologies (Assigned to: Maxim Gkanoliak)
| In this topic the student will perform a survey of the exsting and upcoming video streaming technologies and provide a detailed report containing a comparison among these technologies. The student will also have to implement these technologies and perform experiments and report the findings.
| The student should be familiar with video streaming technologies like ABR, DASH, VBR and programming languages like Java and Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao]
|
|-
|-
| Imbalance learning in Healthcare area
| Imbalance learning is an imbalanced classification problem where the learning phase and the prediction perfromance can be affected by the imbalance dataset. While the imbalance distribution of dataset is very common, student could implement imbalance learning methods in different healthcare area and finish a report on imbalance learning methods in healthcare area.
| The student should be familiar with Machine learning and programming languages Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
|
|-
|-
| Advancements and challenges in Visible Light Communication (VLC)
| Traditional wireless communications are based on microwave transmission, which is facing the challenge of rapidly increasing number of devices, as well as the amount of data transmission. White LED offers advantageous properties such as high brightness, reliability, lower power consumption and long lifetime. White LEDs are already widely applied in the current generation of lamps. If it could be used as wireless communication, many exsiting problems of wireless communication like high power comsumption, low security and unreliability.
| The student should be familiar with basic wireless communication knowledge.
| [Jiaquan Zhang (jzhang@cs.uni-goettingen.de)]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, an overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2020)

2020-04-28T13:08:36Z

Yyuan: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao]
|time= '''Please read this introduction slide (https://drive.google.com/open?id=1jNZ-k8WSu4tP6bMHvY73FBoUXdrXNLql). If there is any question, please contact teaching assistants.'''
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=251477&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20201&idcol=k_semester.semid&idval=20201&getglobal=semester]
}}
{{Announcement|Note: There will be no introduction lecture. Please refer to the attached Introduction slides and this page for all the information regarding the course and contact the teaching assistants via E-mail for any further questions.''' Please register the course before 04.20.'''
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* There will be no introduction meeting. Please read the introduction slides and contact the teaching assistants if you have any further questions.
* '''June. 20''' : Deadline for registration (Tentative)
* '''July. 2 and July. 3, 13:00-17:00''': Presentations, highly likely through '''Zoom '''instead of a face-to-face presentation in the IFI Building, Room 1.101. This time may be postponed. We will update it in due time, please keep checking the site to stay up to date.
* '''Sep. 30, 2019, 23:59''': Deadline for submission of the report (should be sent to the topic adviser through E-mail!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| Knowledge Graph for Recommendation System(Akshay Katyal)
| The success of the recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals. To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions. To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Have basic knowledge for deep learning. Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [https://www.google.com/search?q=kgat&oq=kgat&aqs=chrome..69i57j0l7.791j0j4&sourceid=chrome&ie=UTF-8]
|-
| Empirical study for QUIC Protocol (assigned)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Anomaly Detection for Road Traffic(assigned)
| Anomaly detection on road traffic has vast application prospects in urban traffic management and road safety. Due to the impact of many factors such as weather, viewpoints and road conditions in the real-world traffic scene, anomaly detection still faces many challenges. There are many causes for vehicle anomalies, such as crashes, vehicle on fires and vehicle faults, which exhibits different unknown behaviors. In this course, we need to learn efficient anomaly detection systems of the state-of-the-art and understand their design and implementation.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://github.com/ShuaiBai623/AI-City-Anomaly-Detection]
|-
| Failure recovery from the breakpoint in service function chain
| As we all know, if the packets are dropped in network, we need to retransmit them from the sender. However, in service function chain, failure links or nodes may drop packets that have already been processed by upstream NFs, retransmission from the sender may result in wasted work in the service chain. If we use SRv6 to steer traffic along with SFC, we could easily know the IP address of upstream NF, then we can leverages this information to realize in-network recovery. This project focuses on realizing in-network recovery with SRv6.
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Learning Combinatorial Optimization Algorithms over Graphs (Ismot Jerin)
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be soloved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new assignment problem
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Wireless Moving Video Surveillance System
| Artificial Intelligence has been and is going to be popular for many years. Static object detection, recognition technique has been studied for many years. However, how these techniques work in a dynamic environment (eg. Self-driving ) is not clear. In this topic, we want to reveal which kind of technique performs better in a video surveillance system with limited computing and network resources. Based on this, our goal is to develop a real Wireless Moving Video Surveillance System which including video analysis, wireless data delivery, and data compression and fusion. Fortunately, we already have some preliminary work.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers. Interested in embedded development, we will use Raspberry Pi and NVIDIA Jetson Nano Developer Kit. Have Fun With This Project!
| [Weijun Wang, weijun.wang@cs.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/Bahl-MobiCom-2015.pdf]
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be solved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new Vihecl Routing Problem.
| The student should be familiar with TSP, Matching, and Integer linear programming
| [Weijun Wangn, weijun.wang@cs.uni-goettingen.de]
|
|-
| Advancements in the field of Video streaming technologies (Assigned to: Maxim Gkanoliak)
| In this topic the student will perform a survey of the exsting and upcoming video streaming technologies and provide a detailed report containing a comparison among these technologies. The student will also have to implement these technologies and perform experiments and report the findings.
| The student should be familiar with video streaming technologies like ABR, DASH, VBR and programming languages like Java and Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao]
|
|-
|-
| Imbalance learning in Healthcare area
| Imbalance learning is an imbalanced classification problem where the learning phase and the prediction perfromance can be affected by the imbalance dataset. While the imbalance distribution of dataset is very common, student could implement imbalance learning methods in different healthcare area and finish a report on imbalance learning methods in healthcare area.
| The student should be familiar with Machine learning and programming languages Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
|
|-
|-
| Advancements and challenges in Visible Light Communication (VLC)
| Traditional wireless communications are based on microwave transmission, which is facing the challenge of rapidly increasing number of devices, as well as the amount of data transmission. White LED offers advantageous properties such as high brightness, reliability, lower power consumption and long lifetime. White LEDs are already widely applied in the current generation of lamps. If it could be used as wireless communication, many exsiting problems of wireless communication like high power comsumption, low security and unreliability.
| The student should be familiar with basic wireless communication knowledge.
| [Jiaquan Zhang (jzhang@cs.uni-goettingen.de)]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, an overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-25T19:35:56Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by Yunxiao Zhang''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-24T12:56:13Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by MD Samiur Rahman''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by MD Samiur Rahman''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-24T12:39:38Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by Tarjia Alam Nisha''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by Tarjia Alam Nisha''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-24T12:33:33Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by Tapashi Gosswami''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-24T12:02:17Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yachao Yuan''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by Yachao Yuan''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by ''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-24T11:43:32Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by Yali''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by ''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by ''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-23T13:38:13Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by ''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by ''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-23T13:07:23Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by ''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by ''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2019
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-23T12:58:15Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 21 May 2020
**'''No Lecture'''

*28 May 2020
**'''Anomaly Detection for Road Traffic'''
***Shuai Bai, et al., [http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Bai_Traffic_Anomaly_Detection_via_Perspective_Map_based_on_Spatial-temporal_Information_CVPRW_2019_paper.pdf Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix], CVPR Workshop 2019. ('''Winner ''') ('''Presented by ''')

* 4 June 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 11 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by ''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2019
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-23T10:54:27Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 21 May 2020
**'''No Lecture'''

* 28 May 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 4 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by ''')

* 11 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 18 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 25 June 2019
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2020

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-23T10:50:18Z

Yyuan: /* Final Presentations & Report */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 21 May 2020
**'''No Lecture'''

* 28 May 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 4 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by ''')

* 11 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 18 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 25 June 2019
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~5 minutes Q&A

*Final Presentation Slots:
** 16 July 2020 (14:00-16:00)
** 23 July 2020 (14:00-16:00)
[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-23T10:46:04Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 21 May 2020
**'''No Lecture'''

* 28 May 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 4 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by ''')

* 11 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 18 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 25 June 2019
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
**TBA

[[Category:Courses]]

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-23T10:41:58Z

Yyuan: /* Schedule */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 21 May 2020
**'''No Lecture'''

* 28 May 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 4 June 2020 (Final topics release)
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by ''')

* 11 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 18 June 2020
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 25 June 2019
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

* 16 July 2020 (Final slides submission)

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
**TBA

[[Category:Courses]]

Advanced Practical Course Data Science (Summer 2020)

2020-04-21T08:06:52Z

Yyuan: /* Schedule */

{{Announcement|Note: The primary platform for communication in this course will be StudIP. All materials will be uploaded there.}}

== Details ==
{{CourseDetails
|credits=180h, 6 ECTS
|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]
|time=Thursday, 16-18
|place=Ifi 2.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=248178&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcement==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of this course to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf, see: https://www.uni-goettingen.de/en/622774.html. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lecture start.

==Course Organization==
In this course, you will complete several practical tasks in the realm of data analysis. These tasks can include both exploratory (descriptive) data analysis as well as the application of machine learning algorithms to specific datasets.

While the focus of the course is strongly practical, to support students, the course will provide lectures on different aspects of practical machine learning in the early stages of the course, including:

* Introduction to the practical machine learning pipeline
* Exploratory data analysis
* The Python Data Science stack
* How to deal with unbalanced data
* Advanced algorithms for Data Science (an overview of competition winning algorithms)
* Parameter tuning for predictive models

Students need to submit their solutions to tasks by specific deadlines throughout the course. Note that this course thus requires a continuous effort throughout the whole semester.
Solutions for each task have to be presented in class. A final report needs to be submitted at the end of the semester (September 30).

==Prerequisites==
*You are ''highly recommended'' to have completed a course on Data Science (e.g., "[https://www.swe.informatik.uni-goettingen.de/lectures/data-science-and-big-data-analytics-ws2015 Data Science and Big Data Analytics" taught by Dr. Steffen Herbold] or the Course "Machine Learning" by Stanford University) before entering this course. You need to be familiar with basic statistics (distributions, p/t/z-tests, etc.) and a range of machine learning algorithms (linear/logistic/lasso regression, k-means clustering, k-NN classification etc.).
*Knowledge of any of the following languages: Python (course language), R, JAVA, Matlab or any language that features proper machine learning libraries

==Schedule==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''When?'''
|{{Hl2}} |'''What?'''
|-
| align="right" | 23.04.2020
| Lecture 1: Introduction & The Data Science Pipeline
|-
| align="right" | 30.04.2020
| Lecture 2: The Python Data Science Stack - Task 1: Release
|-
| align="right" | 07.05.2020
| No lecture
|-
| align="right" | 14.05.2020
| Task 1: Intermediate meeting
|-
| align="right" | 21.05.2020
| Lecture 3: Advanced Algorithms for Data Science // Task 1 report submission // Task 2: release
|-
| align="right" | 28.05.2020
| No lecture
|-
| align="right" | 04.06.2020
| No lecture
|-
| align="right" | 11.06.2020
| Lecture 4: Evaluation and Tuning of Models // Task 2 report submission // Task 3: release
|-
| align="right" | 18.06.2020
| No lecture
|-
| align="right" | 25.06.2020
| No lecture
|-
| align="right" | 02.07.2020
| No lecture
|-
| align="right" | 09.07.2020
| Task 3: Intermediate meeting I
|-
| align="right" | 16.07.2020
| No lecture
|-
| align="right" | 23.07.2020
| No lecture
|-
| align="right" | 30.07.2020
| Task 3: Intermediate meeting II
|-
| align="right" | TBD
| Task 3: Presentations (Final Presentation)
|-
| align="right" | 08.20.2020
| Final Report deadline (Including report and code)
|-
|}

Seminar on Internet Technologies (Summer 2020)

2020-04-18T11:42:40Z

Yyuan: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao]
|time= '''Please read this introduction slide (https://drive.google.com/open?id=1jNZ-k8WSu4tP6bMHvY73FBoUXdrXNLql). If there is any question, please contact teaching assistants.'''
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=251477&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20201&idcol=k_semester.semid&idval=20201&getglobal=semester]
}}
{{Announcement|Note: There will be no introduction lecture. Please refer to the attached Introduction slides and this page for all the information regarding the course and contact the teaching assistants via E-mail for any further questions.''' Please register the course before 04.20.'''
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* There will be no introduction meeting. Please read the introduction slides and contact the teaching assistants if you have any further questions.
* '''June. 20''' : Deadline for registration (Tentative)
* '''July. 2 and July. 3, 13:00-17:00''': Presentations, highly likely through '''Zoom '''instead of a face-to-face presentation in the IFI Building, Room 1.101. This time may be postponed. We will update it in due time, please keep checking the site to stay up to date.
* '''Sep. 30, 2019, 23:59''': Deadline for submission of the report (should be sent to the topic adviser through E-mail!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| Knowledge Graph for Recommendation System(Akshay Katyal)
| The success of the recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals. To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions. To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Have basic knowledge for deep learning. Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [https://www.google.com/search?q=kgat&oq=kgat&aqs=chrome..69i57j0l7.791j0j4&sourceid=chrome&ie=UTF-8]
|-
| Empirical study for QUIC Protocol (assigned)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Anomaly Detection for Road Traffic(assigned)
| Anomaly detection on road traffic has vast application prospects in urban traffic management and road safety. Due to the impact of many factors such as weather, viewpoints and road conditions in the real-world traffic scene, anomaly detection still faces many challenges. There are many causes for vehicle anomalies, such as crashes, vehicle on fires and vehicle faults, which exhibits different unknown behaviors. In this course, we need to learn efficient anomaly detection systems of the state-of-the-art and understand their design and implementation.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://github.com/ShuaiBai623/AI-City-Anomaly-Detection]
|-
| Failure recovery from the breakpoint in service function chain
| As we all know, if the packets are dropped in network, we need to retransmit them from the sender. However, in service function chain, failure links or nodes may drop packets that have already been processed by upstream NFs, retransmission from the sender may result in wasted work in the service chain. If we use SRv6 to steer traffic along with SFC, we could easily know the IP address of upstream NF, then we can leverages this information to realize in-network recovery. This project focuses on realizing in-network recovery with SRv6.
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be soloved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new assignment problem
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Wireless Moving Video Surveillance System
| Artificial Intelligence has been and is going to be popular for many years. Static object detection, recognition technique has been studied for many years. However, how these techniques work in a dynamic environment (eg. Self-driving ) is not clear. In this topic, we want to reveal which kind of technique performs better in a video surveillance system with limited computing and network resources. Based on this, our goal is to develop a real Wireless Moving Video Surveillance System which including video analysis, wireless data delivery, and data compression and fusion. Fortunately, we already have some preliminary work.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers. Interested in embedded development, we will use Raspberry Pi and NVIDIA Jetson Nano Developer Kit. Have Fun With This Project!
| [Weijun Wang, weijun.wang@cs.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/Bahl-MobiCom-2015.pdf]
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be solved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new Vihecl Routing Problem.
| The student should be familiar with TSP, Matching, and Integer linear programming
| [Weijun Wangn, weijun.wang@cs.uni-goettingen.de]
|
|-
| Advancements in the field of Video streaming technologies
| In this topic the student will perform a survey of the exsting and upcoming video streaming technologies and provide a detailed report containing a comparison among these technologies. The student will also have to implement these technologies and perform experiments and report the findings.
| The student should be familiar with video streaming technologies like ABR, DASH, VBR and programming languages like Java and Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao]
|
|-
|-
| Imbalance learning in Healthcare area
| Imbalance learning is an imbalanced classification problem where the learning phase and the prediction perfromance can be affected by the imbalance dataset. While the imbalance distribution of dataset is very common, student could implement imbalance learning methods in different healthcare area and finish a report on imbalance learning methods in healthcare area.
| The student should be familiar with Machine learning and programming languages Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, an overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2020)

2020-04-18T11:15:06Z

Yyuan: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao]
|time= '''Please read this introduction slide (https://drive.google.com/open?id=1jNZ-k8WSu4tP6bMHvY73FBoUXdrXNLql). If there is any question, please contact teaching assistants.'''
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=251477&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20201&idcol=k_semester.semid&idval=20201&getglobal=semester]
}}
{{Announcement|Note: There will be no introduction lecture. Please refer to the attached Introduction slides and this page for all the information regarding the course and contact the teaching assistants via E-mail for any further questions.''' Please register the course before 04.20.'''
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* There will be no introduction meeting. Please read the introduction slides and contact the teaching assistants if you have any further questions.
* '''June. 20''' : Deadline for registration (Tentative)
* '''July. 2 and July. 3, 13:00-17:00''': Presentations, highly likely through '''Zoom '''instead of a face-to-face presentation in the IFI Building, Room 1.101. This time may be postponed. We will update it in due time, please keep checking the site to stay up to date.
* '''Sep. 30, 2019, 23:59''': Deadline for submission of the report (should be sent to the topic adviser through E-mail!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| Knowledge Graph for Recommendation System(Akshay Katyal)
| The success of the recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals. To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions. To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Have basic knowledge for deep learning. Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [https://www.google.com/search?q=kgat&oq=kgat&aqs=chrome..69i57j0l7.791j0j4&sourceid=chrome&ie=UTF-8]
|-
| Empirical study for QUIC Protocol (assigned)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Empirical study for QUIC Protocol (assigned)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Failure recovery from the breakpoint in service function chain
| As we all know, if the packets are dropped in network, we need to retransmit them from the sender. However, in service function chain, failure links or nodes may drop packets that have already been processed by upstream NFs, retransmission from the sender may result in wasted work in the service chain. If we use SRv6 to steer traffic along with SFC, we could easily know the IP address of upstream NF, then we can leverages this information to realize in-network recovery. This project focuses on realizing in-network recovery with SRv6.
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be soloved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new assignment problem
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Wireless Moving Video Surveillance System
| Artificial Intelligence has been and is going to be popular for many years. Static object detection, recognition technique has been studied for many years. However, how these techniques work in a dynamic environment (eg. Self-driving ) is not clear. In this topic, we want to reveal which kind of technique performs better in a video surveillance system with limited computing and network resources. Based on this, our goal is to develop a real Wireless Moving Video Surveillance System which including video analysis, wireless data delivery, and data compression and fusion. Fortunately, we already have some preliminary work.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers. Interested in embedded development, we will use Raspberry Pi and NVIDIA Jetson Nano Developer Kit. Have Fun With This Project!
| [Weijun Wang, weijun.wang@cs.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/Bahl-MobiCom-2015.pdf]
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be solved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new Vihecl Routing Problem.
| The student should be familiar with TSP, Matching, and Integer linear programming
| [Weijun Wangn, weijun.wang@cs.uni-goettingen.de]
|
|-
| Advancements in the field of Video streaming technologies
| In this topic the student will perform a survey of the exsting and upcoming video streaming technologies and provide a detailed report containing a comparison among these technologies. The student will also have to implement these technologies and perform experiments and report the findings.
| The student should be familiar with video streaming technologies like ABR, DASH, VBR and programming languages like Java and Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao]
|
|-
|-
| Imbalance learning in Healthcare area
| Imbalance learning is an imbalanced classification problem where the learning phase and the prediction perfromance can be affected by the imbalance dataset. While the imbalance distribution of dataset is very common, student could implement imbalance learning methods in different healthcare area and finish a report on imbalance learning methods in healthcare area.
| The student should be familiar with Machine learning and programming languages Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, an overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2020)

2020-04-18T09:13:49Z

Yyuan: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao]
|time= '''Please read this introduction slide (https://drive.google.com/open?id=1jNZ-k8WSu4tP6bMHvY73FBoUXdrXNLql). If there is any question, please contact teaching assistants.'''
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=251477&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20201&idcol=k_semester.semid&idval=20201&getglobal=semester]
}}
{{Announcement|Note: There will be no introduction lecture. Please refer to the attached Introduction slides and this page for all the information regarding the course and contact the teaching assistants via E-mail for any further questions.''' Please register the course before 04.20.'''
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* There will be no introduction meeting. Please read the introduction slides and contact the teaching assistants if you have any further questions.
* '''June. 20''' : Deadline for registration (Tentative)
* '''July. 2 and July. 3, 13:00-17:00''': Presentations, highly likely through '''Zoom '''instead of a face-to-face presentation in the IFI Building, Room 1.101. This time may be postponed. We will update it in due time, please keep checking the site to stay up to date.
* '''Sep. 30, 2019, 23:59''': Deadline for submission of the report (should be sent to the topic adviser through E-mail!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| Knowledge Graph for Recommendation System(Akshay Katyal)
| The success of the recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals. To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions. To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Have basic knowledge for deep learning. Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [https://www.google.com/search?q=kgat&oq=kgat&aqs=chrome..69i57j0l7.791j0j4&sourceid=chrome&ie=UTF-8]
|-
| Empirical study for QUIC Protocol (assigned)
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Yali Yuan, yali.yuan@cs.informatik.uni-goettingen.de]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
|-
| Failure recovery from the breakpoint in service function chain
| As we all know, if the packets are dropped in network, we need to retransmit them from the sender. However, in service function chain, failure links or nodes may drop packets that have already been processed by upstream NFs, retransmission from the sender may result in wasted work in the service chain. If we use SRv6 to steer traffic along with SFC, we could easily know the IP address of upstream NF, then we can leverages this information to realize in-network recovery. This project focuses on realizing in-network recovery with SRv6.
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be soloved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new assignment problem
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
|
|-
| Wireless Moving Video Surveillance System
| Artificial Intelligence has been and is going to be popular for many years. Static object detection, recognition technique has been studied for many years. However, how these techniques work in a dynamic environment (eg. Self-driving ) is not clear. In this topic, we want to reveal which kind of technique performs better in a video surveillance system with limited computing and network resources. Based on this, our goal is to develop a real Wireless Moving Video Surveillance System which including video analysis, wireless data delivery, and data compression and fusion. Fortunately, we already have some preliminary work.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers. Interested in embedded development, we will use Raspberry Pi and NVIDIA Jetson Nano Developer Kit. Have Fun With This Project!
| [Weijun Wang, weijun.wang@cs.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/Bahl-MobiCom-2015.pdf]
|-
| Learning Combinatorial Optimization Algorithms over Graphs
| There are many NP-hard problems about graph. However, these NP-hard problems cannot be solved fast by optimization solver. Approximation algorithms could solve them fast in the cost of sacrificing the accuracy. Recently, some algorithms based on machine learning have been proposed to solve these NP-hard problems in the manner of end-to-end. After reproducing one classical paper, the student is required to find solution for a new Vihecl Routing Problem.
| The student should be familiar with TSP, Matching, and Integer linear programming
| [Weijun Wangn, weijun.wang@cs.uni-goettingen.de]
|
|-
| Advancements in the field of Video streaming technologies
| In this topic the student will perform a survey of the exsting and upcoming video streaming technologies and provide a detailed report containing a comparison among these technologies. The student will also have to implement these technologies and perform experiments and report the findings.
| The student should be familiar with video streaming technologies like ABR, DASH, VBR and programming languages like Java and Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao]
|
|-
|-
| Imbalance learning in Healthcare area
| Imbalance learning is an imbalanced classification problem where the learning phase and the prediction perfromance can be affected by the imbalance dataset. While the imbalance distribution of dataset is very common, student could implement imbalance learning methods in different healthcare area and finish a report on imbalance learning methods in healthcare area.
| The student should be familiar with Machine learning and programming languages Python.
| [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, an overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Advanced Computer Networks (Summer 2020)

2020-04-14T13:51:35Z

Yyuan: /* Announcements */

== Details ==
{{CourseDetails
|credits=5ECTS
|module= M.Inf.1223.Mp OR 3.17: Selected Topics in Advanced Networking (ITIS)
|lecturer= [http://www.net.informatik.uni-goettingen.de/?q=people/hannes-tschofenig Dr. Hannes Tschofenig], [http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]
|ta= [http://www.net.informatik.uni-goettingen.de/?q=people/bangbang-ren, Bangbang Ren]
|time= Tuesday 10-12am (lecture), Thursday 10-12am (lecture), Thursday 12-13pm (exercise). (*Note only until 28.05.2020!*)
|place=Room 2.101
|univz=https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=248177&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung
}}

==Course description==
This lecture will introduce concepts of computer networking related to Internet of Things devices. The goal of the course is to make you feel comfortable designing and secure IoT-based Internet communication. The course gives you an understanding of
*The hardware used in IoT devices,
*Embedded software development,
*Local communication to sensors and actuators,
*Internet protocols specifically designed for IoT devices,
*Protocols to manage the lifecycle of IoT devices,
*Security technologies used on constrained device, and
*Data protection and privacy.
There will be exercises and it is mandatory to complete all the exercises to attend the final exam. Each student will be provided with IoT hardware. For software development the preferred tool is a professional IDE developed by Keil.

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced Computer Networks (ACN) to 21.04. 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 20.04.2020. '''I will announce which tool will be used before our lectures start. Please contact me by email: bangbang.ren@cs.uni-goettingen.de if you have any questions.

==Schedule (Tentative)==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''Date'''
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Lecturer'''
|{{Hl2}} |'''Lecture slides'''
|{{Hl2}} |'''Exercise'''
|-
| align="right" | 21.04.2020
| Introduction to Internet of Things
| Hannes Tschofenig
|
|
|-
| align="right" | 23.04.2020
| The Arm Architecture (Cortex M-class vs. Cortex A-class)
| Hannes Tschofenig
|
| Get hardware & software working
|-
| align="right" | 28.04.2020
| Local Communication (UART, I2C, SPI)
| Hannes Tschofenig
|
| Use of a sensor communication
|-
| align="right" | 30.04.2020
| Radio Technologies (BLE, Thread, NB-IoT, LoRa)
| Hannes Tschofenig
|
| Use of a radio technology
|-
| align="right" |05.05.2020
| Internet Protocols for IoT (CoAP and MQTT vs. HTTP)
| Hannes Tschofenig
|
|
|-
| align="right" | 07.05.2020
| Security Threats and Security Requirements
| Hannes Tschofenig
|
|
|-
| align="right" | 12.05.2020
| Device Management
| Hannes Tschofenig
|
| Use of LwM2M
|-
| align="right" | 14.05.2020
| Securing IoT - Communication Security
| Hannes Tschofenig
|
| Secure IoT communication
|-
| align="right" | 19.05.2020
| Securing IoT – Hardware Security Technology (TEEs and TrustZone)
| Hannes Tschofenig
|
| Use hardware security mechanisms
|-
| align="right" | 21.05.2020
| Securing IoT – Firmware Updates, Secure Boot and Attestation
| Hannes Tschofenig
|
| Write your own bootloader
|-
| align="right" | 26.05.2020
| Privacy
| Hannes Tschofenig
|
|
|-
| align="right" |28.05.2020
| Exam
| Hannes Tschofenig
|
|
|-
|}

==Prerequisites==
* Computer Science I, II; Computer Networks

[[Category:Courses]]

Advanced Practical Course Data Science (Summer 2020)

2020-04-09T15:57:02Z

Yyuan: /* Announcement */

{{Announcement|Note: The primary platform for communication in this course will be StudIP. All materials will be uploaded there.}}

== Details ==
{{CourseDetails
|credits=180h, 6 ECTS
|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]
|time=Thursday, 16-18
|place=Ifi 2.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=248178&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcement==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of this course to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf, see: https://www.uni-goettingen.de/en/622774.html. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lecture start.

==Course Organization==
In this course, you will complete several practical tasks in the realm of data analysis. These tasks can include both exploratory (descriptive) data analysis as well as the application of machine learning algorithms to specific datasets.

While the focus of the course is strongly practical, to support students, the course will provide lectures on different aspects of practical machine learning in the early stages of the course, including:

* Introduction to the practical machine learning pipeline
* Exploratory data analysis
* The Python Data Science stack
* How to deal with unbalanced data
* Advanced algorithms for Data Science (an overview of competition winning algorithms)
* Parameter tuning for predictive models

Students need to submit their solutions to tasks by specific deadlines throughout the course. Note that this course thus requires a continuous effort throughout the whole semester.
Solutions for each task have to be presented in class. A final report needs to be submitted at the end of the semester (September 30).

==Prerequisites==
*You are ''highly recommended'' to have completed a course on Data Science (e.g., "[https://www.swe.informatik.uni-goettingen.de/lectures/data-science-and-big-data-analytics-ws2015 Data Science and Big Data Analytics" taught by Dr. Steffen Herbold] or the Course "Machine Learning" by Stanford University) before entering this course. You need to be familiar with basic statistics (distributions, p/t/z-tests, etc.) and a range of machine learning algorithms (linear/logistic/lasso regression, k-means clustering, k-NN classification etc.).
*Knowledge of any of the following languages: Python (course language), R, JAVA, Matlab or any language that features proper machine learning libraries

==Schedule==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''When?'''
|{{Hl2}} |'''What?'''
|-
| align="right" | 23.04.2020
| Lecture 1: Introduction & The Data Science Pipeline
|-
| align="right" | 30.04.2020
| Lecture 2: The Python Data Science Stack - Task 1: Release
|-
| align="right" | 07.05.2020
| No lecture
|-
| align="right" | 14.05.2020
| Task 1: Intermediate meeting
|-
| align="right" | 21.05.2020
| Lecture 3: Advanced Algorithms for Data Science // Task 1 report submission // Task 2: release
|-
| align="right" | 28.05.2020
| No lecture
|-
| align="right" | 04.06.2020
| No lecture
|-
| align="right" | 11.06.2020
| Lecture 4: Evaluation and Tuning of Models // Task 2 report submission // Task 3: release
|-
| align="right" | 18.06.2020
| No lecture
|-
| align="right" | 25.06.2020
| No lecture
|-
| align="right" | 02.07.2020
| No lecture
|-
| align="right" | 09.07.2020
| Task 3: Intermediate meeting I
|-
| align="right" | 16.07.2020
| No lecture
|-
| align="right" | 23.07.2020
| No lecture
|-
| align="right" | 30.07.2020
| Task 3: Intermediate meeting II
|-
| align="right" | TBD
| Task 3: Presentations (Final Presentation)
|-
| align="right" | 09.31.2020
| Final Report deadline (Including report and code)
|-
|}

Advanced Practical Course Data Science (Summer 2020)

2020-04-09T15:55:45Z

Yyuan: /* Announcement */

{{Announcement|Note: The primary platform for communication in this course will be StudIP. All materials will be uploaded there.}}

== Details ==
{{CourseDetails
|credits=180h, 6 ECTS
|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]
|time=Thursday, 16-18
|place=Ifi 2.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=248178&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcement==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of this course to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf, see: https://www.uni-goettingen.de/en/622774.html. Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020. I will announce which tool will be used before our lecture start.

==Course Organization==
In this course, you will complete several practical tasks in the realm of data analysis. These tasks can include both exploratory (descriptive) data analysis as well as the application of machine learning algorithms to specific datasets.

While the focus of the course is strongly practical, to support students, the course will provide lectures on different aspects of practical machine learning in the early stages of the course, including:

* Introduction to the practical machine learning pipeline
* Exploratory data analysis
* The Python Data Science stack
* How to deal with unbalanced data
* Advanced algorithms for Data Science (an overview of competition winning algorithms)
* Parameter tuning for predictive models

Students need to submit their solutions to tasks by specific deadlines throughout the course. Note that this course thus requires a continuous effort throughout the whole semester.
Solutions for each task have to be presented in class. A final report needs to be submitted at the end of the semester (September 30).

==Prerequisites==
*You are ''highly recommended'' to have completed a course on Data Science (e.g., "[https://www.swe.informatik.uni-goettingen.de/lectures/data-science-and-big-data-analytics-ws2015 Data Science and Big Data Analytics" taught by Dr. Steffen Herbold] or the Course "Machine Learning" by Stanford University) before entering this course. You need to be familiar with basic statistics (distributions, p/t/z-tests, etc.) and a range of machine learning algorithms (linear/logistic/lasso regression, k-means clustering, k-NN classification etc.).
*Knowledge of any of the following languages: Python (course language), R, JAVA, Matlab or any language that features proper machine learning libraries

==Schedule==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''When?'''
|{{Hl2}} |'''What?'''
|-
| align="right" | 23.04.2020
| Lecture 1: Introduction & The Data Science Pipeline
|-
| align="right" | 30.04.2020
| Lecture 2: The Python Data Science Stack - Task 1: Release
|-
| align="right" | 07.05.2020
| No lecture
|-
| align="right" | 14.05.2020
| Task 1: Intermediate meeting
|-
| align="right" | 21.05.2020
| Lecture 3: Advanced Algorithms for Data Science // Task 1 report submission // Task 2: release
|-
| align="right" | 28.05.2020
| No lecture
|-
| align="right" | 04.06.2020
| No lecture
|-
| align="right" | 11.06.2020
| Lecture 4: Evaluation and Tuning of Models // Task 2 report submission // Task 3: release
|-
| align="right" | 18.06.2020
| No lecture
|-
| align="right" | 25.06.2020
| No lecture
|-
| align="right" | 02.07.2020
| No lecture
|-
| align="right" | 09.07.2020
| Task 3: Intermediate meeting I
|-
| align="right" | 16.07.2020
| No lecture
|-
| align="right" | 23.07.2020
| No lecture
|-
| align="right" | 30.07.2020
| Task 3: Intermediate meeting II
|-
| align="right" | TBD
| Task 3: Presentations (Final Presentation)
|-
| align="right" | 09.31.2020
| Final Report deadline (Including report and code)
|-
|}

Advanced topics in mobile and social computing (AToMSC) (Summer 2020)

2020-04-09T15:53:53Z

Yyuan: /* Announcements */

== Details ==
{{CourseDetails
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|time=Thu. 14:00-16:00
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=252283&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20201&getglobal=semester&htmlBodyOnly=true]
}}

==Announcements==
Due to the recent recommendations in the context of Covid-19, we have to defer the start of the lectures of the course on advanced topics in mobile and social computing (AToMSC) to 23rd April 2020. Currently, this course is scheduled in a purely online, non-face-to-face way. We plan to use some tools and platforms, e.g., zoom or DFNconf. '''Please register into studIP in advance. The registration deadline is at 23:59 pm on 22nd April 2020.''' I will announce which tool will be used before our lectures start. Please contact me by email:yali.yuan@informatik.uni-goettingen.de if you have any questions.

==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion
* Final Presentation
* Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

==Requirements==
* Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
** Summary of the paper
** Pros AND cons of the paper (your conclusion)
** '''NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [[http://user.informatik.uni-goettingen.de/~fu/Paper_Review_Form_ATCN_WS201112.doc Paper_Review_Form_ATCN_WS201112.doc]]
* During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
* In the middle of the semester, everyone is requested to pick a topic and prepare:
** Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
** Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

==Schedule==

* 23 April 2020
**Informational Meeting

* 30 April 2020
**'''Anomaly Detection for Road Traffic'''
***Ming Xu, et al., [https://ieeexplore.ieee.org/abstract/document/8848469 Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 7 May 2020
**'''Anomaly Detection for Road Traffic'''
***Xiangjie Kong, et al., [https://link.springer.com/article/10.1007/s11280-017-0487-4 LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data], WWW 2018. ('''Presented by ''')

*14 May 2020
**'''Anomaly Detection for Road Traffic'''
***Dinesh Singh, et al., [https://ieeexplore.ieee.org/abstract/document/8367975 Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder], IEEE Transactions on Intelligent Transportation Systems 2019. ('''Presented by ''')

* 21 May 2020
**'''Edge computing and IoT based road safety'''
***Dawei Chen, et al., [https://ieeexplore.ieee.org/abstract/document/9051801 Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach], IEEE TVT’20. ('''Presented by ''')

* 28 May 2020
***No Lecture

* 4 June 2020 (Final topics release)
***No Lecture

* 11 June 2020
**'''Edge computing and IoT based road safety '''
***Yoshitaka Shibata, et al., [https://link.springer.com/chapter/10.1007/978-3-030-15032-7_94 IoT Based Wide Area Road Surface State Sensing and Communication System for Future Safety Driving], AINA'19. ('''Presented by ''')

* 18 June 2020
**'''Edge computing and IoT based road safety'''
***Mingming Cui, et al., [https://ieeexplore.ieee.org/abstract/document/8758233 An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing], IEEE IoTJ'19 2018. ('''Presented by ''')

* 25 June 2019
**'''Healthcare in Cloud Computing'''
***Nam Bui, et al., [https://dl.acm.org/doi/10.1145/3300061.3345454 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear], ACM MobiCom'19. ('''Presented by ''')

* 2 July 2020
**'''Healthcare in Cloud Computing'''
***Aidan Curtis, et al., [https://dl.acm.org/doi/10.1145/3300061.3345433 HealthSense: Software-defined Mobile-based Clinical Trials], ACM MobiCom'19. ('''Presented by ''')

* 9 July 2020 (Final slides submission)
**'''Healthcare in Cloud Computing'''
***George Boateng, et al., [https://dl.acm.org/doi/10.1145/3300061.3345432 Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications], ACM MobiCom'19. ('''Presented by ''')

==Final Presentations & Report==

*Final Registration in '''FlexNow''': TBA.

*Final Presentation:
**Each for ~20 minutes, plus ~10 minutes Q&A

*Final Presentation Slots:
**TBA

[[Category:Courses]]