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Seminar on Internet Technologies (Winter 2024/2025): Difference between revisions

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{{CourseDetails
{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|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];
|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[shen.tong@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]
}}
}}


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==Schedule==
==Schedule==
* '''TBD.01.2025''': Deadline for registration to attend the final presentation
* '''31.01.2025''': Deadline for registration to attend the final presentation
* '''TBD.01.2025''' : Final Presentations (Online, wait to decide)
* '''11.02.2025''' : Final Presentations (Offline)
* '''TBD.02.2025(23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!).
* '''27.02.2025(23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!).


== Topics ==
== Topics ==
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|-
|-
|-
|-
| How to do efficient offline training
| Remote Sensing Image Registration
| In this topic, you will study how to do efficient offline training for reinforcement learning
| In this topic, you will study and apply methods for the registration of multimodal remote sensing images with different resolution.
| Basic programming knowledge, Basic machine learning knowledge, need coding work
| Basic machine learning knowledge
| [Tingting Yuan, tingting.yuan@cs.uni-goettingen.de]
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
|
|
| Yes
| Yes
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| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
|
|
| No
| Yes
|-
|-
| Biomass estimation from Satellite Images
| In this topic, you will study methods to estimate the biomass of trees from satellite images.
| Basic machine learning knowledge
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
|
| No
|-
|-
|-
|-
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| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
|
| Yes
| No
|-
|-
|-
|-
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|  
|  
| Yes
| Yes
|-
|-
| ML/DL based industrial equipment predictive maintenance (Intern/Project/Thesis possible)
| In this topic, student will study how to use cutting-edge machine learning models to predict when industrial equipment need to be maintained before crashing.
| Python(Cleaning, EDA, Modeling and Visualization). XAI knowledge is a plus.
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| Yes
|-
|-
| AI for High-quality Image Restoration and Manipulation (Intern/Project/Thesis possible)
| Image restoration and manipulation are low-level vison problems aiming to either restore the degraded images for higher perceptual quality (such as better color, contrast brightness, etc.) or manipulate image styles content for better understanding or visual-appealing effects. Moreover, such problems also plays key role for many high-level computer vision tasks, including  image detection, recognition and (semantic) segmentation... In this topic, students need to follow the new trends and advances in the area of many sup-problem and explore new methods for completive or superior opportunity for academic and industrial applications.
| Python & CV knowledge.
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| No
|-
|-
|-
|-
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| Knowledge Graph & NLP
| Knowledge Graph & NLP
| [Tong Shen, shen.tong@cs.uni-goettingen.de]
| [Tong Shen, shen.tong@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Emotional Support Conversation Generation
| Does the large language model have emotions? Can it provide emotional support to users? In this topic, you will learn about techniques of large language models, such as prompt engineering and instruction fine-tuning, and use the above approaches to implement the emotional support conversation.
| Large Language Model & Emotional Support
| [Jing Li, jing.li@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Intelligent Routing
| In this topic, you will learn how to configure an environment based on Software-Defined Networking, and then deploy reinforcement learning algorithms on it to achieve automated routing decision.
| Basic knowledge of reinforcement learning, fundamental computer network concepts, and coding work are required.
| [peichen.li@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Rumor control and detection
| This topic focuses on how to analyze social networks, study information propagation models and design rumor control strategies. At the same time, you will consider automatically identifying and preventing the spread of false or misleading information in social networks to help reduce the spread of rumor information.
| Information Propagation  & GCN.
| [Fei Gao, fei.gao@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Resource Optimization in Edge Computing
| This topic focuses on designing algorithms to better optimize various resources in edge computing, such as computing resources, storage resources, or network resources to realize a more efficient edge computing system.
| Task Scheduling  & Caching & Flow Scheduling.
| [Chi Zhang, chi.zhang@cs.uni-goettingen.de]
|  
|  
| Yes
| Yes
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