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Seminar on Internet Technologies (Summer 2025): Difference between revisions

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Created page with "== Details == {{CourseDetails |credits=5 ECTS (BSc/MSc AI); 5 (ITIS) |module=M.Inf.1124 |lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu];[http://www.net.informatik.uni-goettingen.de/?q=people/tingting-yuan Tingting Yuan] |ta =[http://www.net.informatik.uni-goettingen.de/?q=people/jiaquan-zhang MSc. Jiaquan Zhang]; |'''Please read this introduction slide [https://docs.google.com/presentation/d/13hmKYBmB4tbTFNeK1GvBAs1qZntMYo75o8ycb1NgYXI/edit?u..."
 
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|ta =[http://www.net.informatik.uni-goettingen.de/?q=people/jiaquan-zhang MSc. Jiaquan Zhang];
|ta =[http://www.net.informatik.uni-goettingen.de/?q=people/jiaquan-zhang MSc. Jiaquan Zhang];
|'''Please read this introduction slide [https://docs.google.com/presentation/d/13hmKYBmB4tbTFNeK1GvBAs1qZntMYo75o8ycb1NgYXI/edit?usp=sharing]. If there is any question, please contact teaching assistants.'''
|'''Please read this introduction slide [https://docs.google.com/presentation/d/13hmKYBmB4tbTFNeK1GvBAs1qZntMYo75o8ycb1NgYXI/edit?usp=sharing]. If there is any question, please contact teaching assistants.'''
|ta = Tong Shen[shen.tong@cs.uni-goettingen.de];|ta = Tong Shen[dongkuo.wu@cs.uni-goettingen.de]
|ta = Tong Shen[shen.tong@cs.uni-goettingen.de],Dongkuo Wu[dongkuo.wu@cs.uni-goettingen.de];
|time='''Please read this introduction slide [https://docs.google.com/presentation/d/13hmKYBmB4tbTFNeK1GvBAs1qZntMYo75o8ycb1NgYXI/edit?usp=sharing]. If there is any question, please contact teaching assistants.'''
|time='''Please read this introduction slide [https://docs.google.com/presentation/d/13hmKYBmB4tbTFNeK1GvBAs1qZntMYo75o8ycb1NgYXI/edit?usp=sharing]. If there is any question, please contact teaching assistants.'''
|univz=[https://studip-ecampus.uni-goettingen.de/dispatch.php/course/details/index/4f4ce922cd439f8a00f299fec776c727]
|univz=[https://studip-ecampus.uni-goettingen.de/dispatch.php/course/details/index/4f4ce922cd439f8a00f299fec776c727]
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==Schedule==
==Schedule==
* '''31.01.2025''': Deadline for registration to attend the final presentation
* '''15.07.2025''': Deadline for registration to attend the final presentation
* '''11.02.2025''' : Final Presentations (Offline)
* '''12.08.2025''' : Final Presentations (Offline)
* '''27.02.2025(23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!).
* '''25.08.2025(23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!).


== Topics ==
== Topics ==
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|{{Hl2}} |'''Readings'''
|{{Hl2}} |'''Readings'''
|{{Hl2}} |'''Available'''
|{{Hl2}} |'''Available'''
|-
| Social Media Comments Network Analysis (Intern/Project/Thesis possible)
| In this topic, student will study methods to crawl the dataset from social networks(e.g. Tiktok, X, YouTube) and utilize social network analysis in any topic you are interested in (science/education/language…) to find out the network structure and compare the difference among different topics.
| Python(Data crawling, cleaning, statistical data analysis, modeling and visualization), basic graph knowledge would be a plus
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Traffic prediction with GNN (Intern/Project/Thesis possible)
| In this topic, student will study how to use XGNN to predict traffic volumn.
| Python(Modeling and Visualization). Graph and XAI knowledge.
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| Yes
|-
|-
|-
| Privacy protection in video analytics
| Privacy protection in video analytics
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|-
|-
|-
|-
| Remote Sensing Image Registration
| Self-supervised Learning and Foundation Models for Remote Sensing Applications
| In this topic, you will study and apply methods for the registration of multimodal remote sensing images with different resolution.
| In this topic, you will study (and if desired, also apply) self-supervised learning methods and Foundation Models for remote sensing applications (e.g. semantic segmentation of satellite images, super-resolution, estimation of socioeconomic indicators by utilizing satellite images, change detection, disaster monitoring, etc.).
| Basic machine learning knowledge
| Basic machine learning knowledge
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
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| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
|
|
| Yes
|-
|-
| Explainable AI(XAI) / graph neural network (XGNN)
| In this topic, student will study how AI models / GNNs are explained by SOTA papers.
| Basic AI / GNN knowledge
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Anomaly Detection in Graphs
| In this topic, student will read papers to learn how to detect anomaly edge/graph/subgraph… with the help of GNN.
| Basic AI / GNN knowledge
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Social Media Comments Network (Intern/Project/Thesis possible)
| In this topic, student will study methods to crawl the dataset from social networks(e.g. X, YouTube) and utilize social network analysis in any topic you are interested in (science/education/language…) to find out the network structure and compare the difference among different topics.
| Python(Data crawling, cleaning, statistical data analysis, modeling and visualization), basic graph knowledge would be a plus
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| No
|-
|-
| Influence of LLM robots in social networks (Intern/Project/Thesis possible)
| In this topic, student will study methods to crawl the data of LLM robots from social networks(e.g. X, Facebook) and utilize NLP and SNA to evaluate the influence of LLM robots in a specific topic.
| Python(Data crawling, cleaning, statistical data analysis, modeling and visualization), basic graph knowledge would be a plus
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| No
|-
|-
| The life-circle of vanished scientific journals (Intern/Project/Thesis possible)
| In this topic, student will mine the information of vanished/(ongoing)/top journals, try to find out the difference features(manually/ML-based method) between journals facing different destinies.
| Python(Data Crawling, Cleaning, EDA, Modeling). Basic graph, XAI knowledge is a plus.
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Traffic prediction with GNN (Intern/Project/Thesis possible)
| In this topic, student will study how to use XGNN to predict traffic volumn.
| Python(Modeling and Visualization). Graph and XAI knowledge.
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| Yes
| Yes
|-
|-
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|  
|  
| Yes
| Yes
|-
|-
|Service Migration
|When users or devices move, services are migrated among edge nodes to ensure low latency and high-quality service. This topic introduces edge architectures and the application of intelligent algorithms, catering to the popular fields of intelligent transportation and autonomous driving.
|Edge computing and Machine Learning.
|[yufei.liu@cs.uni-goettingen.de]
|
|Yes
|-
|-
|Task Offloading and Resource Allocation Optimization
|This topic presents efficient joint task offloading and auction-based resource allocation mechanisms in edge computing, which not only expand the computational capabilities of mobile devices but also enhance the Quality of Service of IoT applications by significantly reducing latency.
|Edge computing & Basic optimization algorithms.
|[dongkuo.wu@cs.uni-goettingen.de]
|
|Yes
|-
|-
|-
|-
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