Seminar on Internet Technologies (Summer 2017)

Details

Workload/ECTS Credits:	5 ECTS (BSc/MSc AI); 5 (ITIS)
Module:	M.Inf.1124 -or- B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
Lecturer:	Dr. Hong Huang
Teaching assistant:	Tao Zhao
Time:	Apr 20, 16:00ct: Introduction Meeting
Place:	IFI Building, Room 3.101
UniVZ	[1]

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.

Passing requirements

• Actively and frequently participate in the project communication with your topic advisor. The topic advisor has the right to decide whether a student is eligible for the final presentation or not according to their communication.
  • 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:[2]).
  • This accounts for 40% of your grade.
• Please check the #Schedule and adhere to it.

Schedule

• Apr. 20, 16:00ct: Introduction meeting
• TBA : Deadline for registration
• TBA : Presentations
• September. 30, 2017, 23:59: Deadline for submission of report (should be sent to the topic advisor!)

Topics

Topic	Topic Advisor	Initial Readings
Deep into Google Translate This study is to provide a comprehensive study of one of the Google products - Google translate and aim to understand the technologies behind it.	Hong Huang	[3]
Inferring social capital from big data This study is to discover the state of art of social capital measuring, particularly, from big data perspective.	Hong Huang	[4][5]
An overview on deep learning framework In this work, you will be asked to do a survey on all popular deep learning framework either in academe or industry, like tensorflow, caffe and so on. You shall elaborate their shortcomings and advantages.	Hong Huang	[6]
Industrie 4.0: Networking prospective and challenges Germany is targeting reach Industry 4.0 stage in factories. You should survey all requirements from networking prospective and the main challenges. NOTE:This topic could be a good entry for master project and thesis later.	Osamah Barakat	[7][8][9]
Bitcoin: state of the art and position paper This study is to provide a comprehensive study of the current situation on Bitcoin. Latest advances in its structure, security and furture.	Osamah Barakat	[10][11]
Legacy devices support in SDN controllers NOTE: This topic could be a good entry for master project and thesis later. Supporting legacy network is an active research area in SDN. You should survey all techniques used up to date to solve this problem. Details may be provided later.	Osamah Barakat	a good start from [12][13]
Google QUIC QUIC is an experimental transport layer network protocol designed by Jim Roskind at Google, initially implemented in 2012. Investigate QUIC in detail and conduct some simple experiments to compare QUIC with TCP. The experiments should be designed by the student himself/herself.	Enhuan Dong	[14][15][16][17][18]
Google TCP BBR TCP BBR is developed by Google. Investigate BBR in detail and conduct some simple experiments to compare BBR with TCP Cubic.The experiments should be designed by the student himself/herself.	Enhuan Dong	[19][20][21]
Commercial usage of Multipath TCP MultiPath TCP (MPTCP) is an emerging extension for TCP and it is under discussion in IETF now. Study MPTCP protocol including architecture, data transmission, default congestion control, etc. Investigate how MPTCP is used in companies.	Enhuan Dong	[22][23][24][25][26][27][28]
Traffic Data Analysis Great amount of traffic data are generated everyday from private cars, subway, taxi and buses, etc. Traffic data analysis is of great help to understand the patterns of people mobility, transport planning, urban management and policymaking. And it is also an interesting way to learn some basic knowledge about big data and machine learning.	Shichang Ding	[29][30]
Robo advisors and AI A robo-advisor (robo-adviser) is an online wealth management service that provides automated, algorithm-based portfolio management advice without the use of human financial planners. Robo-advisor is one of new examples which show how AI begin to take place of human beings in high-end service like finance, laws, education and even research. Beside gaining basic knowledge about AI, it is also a good way to understand how AI change our future work markets.	Shichang Ding	[31]
Deep Learning and Alphago(Master) Alphago is one of the best players in board games. One of the important reasons for its great success is deep learning. Deep learning is a class of machine learning algorithms that use a cascade of many layers of nonlinear processing units for feature extraction and transformation. It is now broadly studied and used in following areas: Automatic speech recognition, Image recognition, Natural language processing, Customer relationship management and so on. Alphago (its upgraded version called Master) is one of the most famous and successful applications of deep learning. It is a good way to gain knowledge about this interesting area.	Shichang Ding	[32][33]
Mobile network data for public health - A Survey This study is to provide a comprehensive study of Mobile network data for public health.	Tao Zhao	[34]
Understanding and modelling individual human mobility This study is to provide a comprehensive study of understanding and modelling individual human mobility.	Tao Zhao	Take a look at related papers in well known conferences/workshops/journals, e.g., [35]
Recommendations in Location-based Social Networks - A Survey This study is to provide a comprehensive study of recommendations in Location-based Social Networks.	Tao Zhao	[36]