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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 = Weijun Wang [weijun.wang@informatik.uni-goettingen.de]
|ta = Dr. Tingting Yuan [tingting.yuan@informatik.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.'''
}}
}}
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==Schedule==
==Schedule==
* '''01.09.2023''': Deadline for registration to attend the final presentation
* '''03.07.2023''': Deadline for registration to attend the final presentation
* '''08.09.2023''' : Final Presentations (Online)
* '''20.07.2023''' : Final Presentations (Online, wait to decide)
* '''30.09.2023 (23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!).
* '''30.08.2023 (23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!).


== Topics ==
== Topics ==
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|{{Hl2}} |'''Available'''
|{{Hl2}} |'''Available'''
|-
|-
| Network management with deep reinforcement learning
| Privacy protection in video analytics
| In this topic, you will study deep reinforcement learning used in network management, e.g., traffic congestion control, and adaptive bitrate streaming.
| In this topic, you will study how to do privacy protection in video analytics, e.g., video blur
| Basic programming knowledge, Basic machine learning knowledge, need coding work
| Basic programming knowledge, Basic machine learning knowledge, need coding work
| [Tingting Yuan, tingting.yuan@cs.uni-goettingen.de]
| [Tingting Yuan, tingting.yuan@cs.uni-goettingen.de]
|
|
| No
| Yes
|-
|-
|-
|-
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| [Tingting Yuan, tingt.yuan@hotmail.com]
| [Tingting Yuan, tingt.yuan@hotmail.com]
|[https://topten.ai/ai-painting-generators/]
|[https://topten.ai/ai-painting-generators/]
| Yes
|-
|-
|OCR (Optical Character Recognition) and Annotation Transfer
| The aim of the project is to develop a tool/software that can convert a printed paper with annotations and text into electronic versions with text highlighting and annotations
| Basic machine learning knowledge
| [Tingting Yuan, tingt.yuan@hotmail.com]
|[https://medium.com/analytics-vidhya/opencv-perspective-transformation-9edffefb2143] [https://www.cameralyze.co/blog/how-can-i-detect-lines-in-images-or-pdfs] [https://developer.adobe.com/document-services/apis/pdf-services/]
| Yes
| Yes
|-
|-
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| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
|
|
| Yes
| No
|-
|-
|-
|-
| Satellite-based approaches for Flood Management
| Satellite Image Pixel Clustering for Change Estimation
| In this topic, you will study methods to predict and/or map floods by utilizing image data from satellites.
| In this topic, you will study pixel clustering methods for satellite images and apply their outputs for regression-based estimation of changes between different points in time.
| 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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| Social Media Comments Network (Intern/Project/Thesis possible)
| Social Media Comments Network (Intern/Project/Thesis possible)
| In this topic, you will study methods to crawl the dataset from social networks(e.g. YouTube) and utilize social science 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.
| In this topic, you will study methods to crawl the dataset from social networks(e.g. YouTube) and utilize social science 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 skills (Data crawling, cleaning, statistical data analysis, modeling and visualization), basic graph knowledge
| Python(Data crawling, cleaning, statistical data analysis, modeling and visualization), basic graph knowledge
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
|
| Yes
| No
|-
|-
|-
|-
| The life-circle of vanished scientific journals (Intern/Project/Thesis possible)
| The life-circle of vanished scientific journals (Intern/Project/Thesis possible)
| In this topic, students 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.
| In this topic, students 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 skills (Data Crawling, Cleaning, EDA, Modeling). Basic graph, XAI knowledge is a plus.
| Python(Data Crawling, Cleaning, EDA, Modeling). Basic graph, XAI knowledge is a plus.
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
|
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| Traffic prediction with GNN (Intern/Project/Thesis possible)
| Traffic prediction with GNN (Intern/Project/Thesis possible)
| In this topic, students will study how to use XGNN to predict traffic volumn.
| In this topic, students will study how to use XGNN to predict traffic volumn.
| Strong Python skills (Modeling and Visualization). Graph and XAI knowledge.
| Python(Modeling and Visualization). Graph and XAI knowledge.
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|  
|  
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| ML/DL based industrial equipment predictive maintenance (Intern/Project/Thesis possible)
| ML/DL based industrial equipment predictive maintenance (Intern/Project/Thesis possible)
| In this topic, students will study how to use cutting-edge machine learning models to predict when industrial equipment need to be maintained before crashing.
| In this topic, students will study how to use cutting-edge machine learning models to predict when industrial equipment need to be maintained before crashing.
| Strong Python skills (Cleaning, EDA, Modeling and Visualization). XAI knowledge is a plus.
| 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]
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|  
|  
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|-
|-
|-
|-
| Real-time traffic usage monitoring
| Vision-based traffic usage analysis
| In this topic, you will study methods to do real-time traffic usage monitoring in terms of vehicles in major traffic sections.
| In this topic, you will study methods to analyze traffic usage on roads and highways, e.g., in terms of traffic flow, speed, and density to identify patterns and trends.
| Basic CV & ML knowledge
| Basic CV & ML knowledge
| [Yanlong Huang, yanlong.huang@cs.uni-goettingen.de]
| [Yanlong Huang, yanlong.huang@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Personalized chatbot based on ChatGPT
| In this topic, you will learn about ChatGPT and learn to use OpenAI ChatGPT API to create a personalized chatbot.
| NLP & ChatGPT
| [Wenfang Wu, wenfang.wu@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Performance of real 5G communication
| What are the key QoS requirements for future applications and scenarios? What are the shortcomings of today's 5G network? Where are the bottlenecks? How can performance be improved? In this topic, you will build an open-source 5G communication network from the core to the edge, test and analyze the real performance of 5G.
| Network protocol stack & 5G architecture
| [Wanghong Yang, wanghong.yang@cs.uni-goettingen.de]
|  
|  
| Yes
| Yes
Yuan4
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