Advanced topics in mobile and social computing (AToMSC) (Summer 2020): Difference between revisions
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==Schedule== | ==Schedule== | ||
* | * 23 April 2020 | ||
**Informational Meeting | |||
* 30 April 2020 | |||
**'''Anomaly Detection for Road Traffic''' | |||
***Rui Wang, Weichen Wang, Alex daSilva, Jeremy F. Huckins, William M. Kelley, Todd F. Heatherton, Andrew T. Campbell, [https://dl.acm.org/citation.cfm?id=3191775 Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing], ACM UbiComp 2018. ('''Presented by ''') | |||
* 7 May 2020 | |||
**'''Anomaly Detection for Road Traffic''' | |||
***Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang, [https://dl.acm.org/citation.cfm?id=3287073 Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure], ACM UbiComp 2018. ('''Presented by ''') | |||
*14 May 2020 | |||
**'''Anomaly Detection for Road Traffic''' | |||
***Landu Jiang, Xinye Lin, Xue Liu, Chongguang Bi, Guoliang Xing, [https://dl.acm.org/citation.cfm?id=3161179 SafeDrive: Detecting Distracted Driving Behaviors Using Wrist-Worn Devices], ACM UbiComp 2018. ('''Presented by ''') | |||
* 21 May 2020 | |||
**'''Road danger detection''' | |||
***Perkins, Colin, and Jörg Ott, [https://csperkins.org/publications/2018/12/perkins2018rtp-quic.pdf Real-time Audio-Visual Media Transport over QUIC], EPIQ’18. ('''Presented by ''') | |||
* 28 May 2020 | |||
***No Lecture | |||
* 4 June 2020 (Final topics release) | |||
***No Lecture | |||
* 11 June 2020 | |||
**'''Road danger detection ''' | |||
***Soteris Demetriou, Puneet Jain, Kyu-Han Kim, [https://ieeexplore.ieee.org/abstract/document/8486281 CoDrive: Improving Automobile Positioning via Collaborative Driving], IEEE INFOCOM 2018. ('''Presented by ''') | |||
* 18 June 2020 | |||
**'''Road danger detection (Each student selects one topic for review and submit the review report to StudIP)''' | |||
***Georgios Kaiafas, Georgios Varisteas, Sofiane Lagraa, Radu State, Cu D Nguyen, Thorsten Ries, Mohamed Ourdane, [https://ieeexplore.ieee.org/abstract/document/8406295 Detecting malicious authentication events trustfully], IEEE IFIP 2018. ('''Presented by Rezai, Masoud''') | |||
***Anhong Guo, Anuraag Jain, Shomiron Ghose, Gierad Laput, Chris Harrison, Jeffrey P. Bigham, [https://dl.acm.org/citation.cfm?id=3264921 Crowd-AI Camera Sensing in the Real World], IEEE UbiComp 2018. ('''Presented by ''') | |||
* 25 June 2019 | |||
**'''Healthcare in Cloud Computing''' | |||
***Erin Griffiths, Salah Assana, Kamin Whitehouse, [https://dl.acm.org/citation.cfm?id=3161198 Privacy-preserving Image Processing with Binocular Thermal Cameras], IEEE UbiComp 2018. ('''Presented by ''') | |||
* 2 July 2020 | |||
**'''Healthcare in Cloud Computing (Each student selects one topic for review and submit the review report to StudIP)''' | |||
***Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk, [https://arxiv.org/abs/1901.05712 CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming], IEEE INFOCOM 2019. ('''Presented by ''') | |||
***Gadaleta, Matteo, et al., [https://ieeexplore.ieee.org/abstract/document/8048013 D-DASH: A Deep Q-Learning Framework for DASH Video Streaming], IEEE Transactions on Cognitive Communications and Networking 2017. ('''Presented by ''') | |||
* 9 July 2020 (Final slides submission) | |||
**'''Healthcare in Cloud Computing (Each student selects one topic for review and submit the review report to StudIP)''' | |||
***Kun xie, Xiaocan Li, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, [https://dl.acm.org/citation.cfm?id=3180715 Fast Tensor Factorization for Accurate Internet Anomaly Detection], IEEE TON 2017. ('''Presented by ''') | |||
***Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan [ TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information], IEEE INFOCOM 2019. ('''Presented by ''') | |||
==Final Presentations & Report== | ==Final Presentations & Report== |
Revision as of 22:50, 6 April 2020
Details
Workload/ECTS Credits: | 5 ECTS |
Module: | M.Inf.1222.Mp: Specialization Computer Networks Module Description |
Lecturer: | Prof. Xiaoming Fu; Dr. Yali Yuan |
Teaching assistant: | [] |
Time: | Thu. 14:00-16:00 |
Place: | IfI 0.101 |
UniVZ | [1] |
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. 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 [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
- Rui Wang, Weichen Wang, Alex daSilva, Jeremy F. Huckins, William M. Kelley, Todd F. Heatherton, Andrew T. Campbell, Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing, ACM UbiComp 2018. (Presented by )
- Anomaly Detection for Road Traffic
- 7 May 2020
- Anomaly Detection for Road Traffic
- Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang, Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure, ACM UbiComp 2018. (Presented by )
- Anomaly Detection for Road Traffic
- 14 May 2020
- Anomaly Detection for Road Traffic
- Landu Jiang, Xinye Lin, Xue Liu, Chongguang Bi, Guoliang Xing, SafeDrive: Detecting Distracted Driving Behaviors Using Wrist-Worn Devices, ACM UbiComp 2018. (Presented by )
- Anomaly Detection for Road Traffic
- 21 May 2020
- Road danger detection
- Perkins, Colin, and Jörg Ott, Real-time Audio-Visual Media Transport over QUIC, EPIQ’18. (Presented by )
- Road danger detection
- 28 May 2020
- No Lecture
- 4 June 2020 (Final topics release)
- No Lecture
- 11 June 2020
- Road danger detection
- Soteris Demetriou, Puneet Jain, Kyu-Han Kim, CoDrive: Improving Automobile Positioning via Collaborative Driving, IEEE INFOCOM 2018. (Presented by )
- Road danger detection
- 18 June 2020
- Road danger detection (Each student selects one topic for review and submit the review report to StudIP)
- Georgios Kaiafas, Georgios Varisteas, Sofiane Lagraa, Radu State, Cu D Nguyen, Thorsten Ries, Mohamed Ourdane, Detecting malicious authentication events trustfully, IEEE IFIP 2018. (Presented by Rezai, Masoud)
- Anhong Guo, Anuraag Jain, Shomiron Ghose, Gierad Laput, Chris Harrison, Jeffrey P. Bigham, Crowd-AI Camera Sensing in the Real World, IEEE UbiComp 2018. (Presented by )
- Road danger detection (Each student selects one topic for review and submit the review report to StudIP)
- 25 June 2019
- Healthcare in Cloud Computing
- Erin Griffiths, Salah Assana, Kamin Whitehouse, Privacy-preserving Image Processing with Binocular Thermal Cameras, IEEE UbiComp 2018. (Presented by )
- Healthcare in Cloud Computing
- 2 July 2020
- Healthcare in Cloud Computing (Each student selects one topic for review and submit the review report to StudIP)
- Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk, CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming, IEEE INFOCOM 2019. (Presented by )
- Gadaleta, Matteo, et al., D-DASH: A Deep Q-Learning Framework for DASH Video Streaming, IEEE Transactions on Cognitive Communications and Networking 2017. (Presented by )
- Healthcare in Cloud Computing (Each student selects one topic for review and submit the review report to StudIP)
- 9 July 2020 (Final slides submission)
- Healthcare in Cloud Computing (Each student selects one topic for review and submit the review report to StudIP)
- Kun xie, Xiaocan Li, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, Fast Tensor Factorization for Accurate Internet Anomaly Detection, IEEE TON 2017. (Presented by )
- Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan [ TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information], IEEE INFOCOM 2019. (Presented by )
- Healthcare in Cloud Computing (Each student selects one topic for review and submit the review report to StudIP)
Final Presentations & Report
- Final Registration in FlexNow: TBA.
- Final Presentation:
- Each for ~20 minutes, plus ~10 minutes Q&A
- Final Presentation Slots:
- TBA