Advanced topics in mobile and social computing (AToMSC) (Summer 2020): Difference between revisions
Line 39: | Line 39: | ||
* 30 April 2020 | * 30 April 2020 | ||
**'''Anomaly Detection for Road Traffic''' | **'''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 ''') | ||
Line 45: | Line 45: | ||
* 7 May 2020 | * 7 May 2020 | ||
**'''Anomaly Detection for Road Traffic''' | **'''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 ''') | ||
Line 51: | Line 51: | ||
*14 May 2020 | *14 May 2020 | ||
**'''Anomaly Detection for Road Traffic''' | **'''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 ''') | ||
Revision as of 23:07, 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
- Ming Xu, et al., Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization, IEEE Transactions on Intelligent Transportation Systems 2019. (Presented by )
- Anomaly Detection for Road Traffic
- 7 May 2020
- Anomaly Detection for Road Traffic
- Xiangjie Kong, et al., LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data, WWW 2018. (Presented by )
- Anomaly Detection for Road Traffic
- 14 May 2020
- Anomaly Detection for Road Traffic
- Dinesh Singh, et al., Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder, IEEE Transactions on Intelligent Transportation Systems 2019. (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
- Nam Bui, et al., eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear, ACM MobiCom'19. (Presented by )
- Healthcare in Cloud Computing
- 2 July 2020
- Healthcare in Cloud Computing
- Aidan Curtis, et al., HealthSense: Software-defined Mobile-based Clinical Trials, ACM MobiCom'19. (Presented by )
- Healthcare in Cloud Computing
- 9 July 2020 (Final slides submission)
- Healthcare in Cloud Computing
- George Boateng, et al., Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications, IEEE TON 2017. (Presented by )
- Healthcare in Cloud Computing
Final Presentations & Report
- Final Registration in FlexNow: TBA.
- Final Presentation:
- Each for ~20 minutes, plus ~10 minutes Q&A
- Final Presentation Slots:
- TBA