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Theses and Projects: Difference between revisions
→* New! Edge-Cloud Orchestration for LiDAR-based Traffic Analysis
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* (M) Master thesis | * (M) Master thesis | ||
* (P) Student project | * (P) Student project | ||
=== * '''New!''' Efficient Live Volumetric Video Streaming System=== | |||
The exponential growth of digital data and multimedia content necessitates robust and efficient systems to handle the streaming of high-resolution, three-dimensional volumetric videos. These videos offer a more immersive and realistic experience, making them increasingly used in various sectors such as virtual reality, augmented reality, and entertainment. The challenge here lies in creating a system that can handle the high-bandwidth and computation-intensive demands of live volumetric video streaming while ensuring the delivery of a seamless and high-quality user experience. This project conceptualizes the development and optimization of efficient algorithms and systems to handle volumetric video streams, mitigating bandwidth cost and latency issues. We expect you to have a background in video streaming technologies, computer vision, and programming skills. | |||
Please contact Yanlong Huang[yanlong.huang@cs.uni-goettingen.de] | |||
=== * '''New!''' Edge-Cloud Orchestration for LiDAR-based Traffic Analysis=== | |||
The imminent era of smart cities and autonomous vehicles paves the way for the deployment and operation of advanced monitoring and processing systems. Among these, LiDAR technology stands out for its ability to provide high-resolution, three-dimensional traffic data, becoming an essential component for efficient traffic analysis and management. However, the computation-intensive and latency-sensitive nature of LiDAR data processing poses significant challenges and dictates the need for efficient orchestration between edge and cloud computing resources. Edge-Cloud Orchestration offers an innovative solution to this problem by bridging the gap between these two technologies, enabling the low-latency processing of complex LiDAR data. It would be good if you have a background in point cloud processing/cloud computing, K8s, and programming skills. | |||
Please contact Yanlong Huang[yanlong.huang@cs.uni-goettingen.de] | |||
=== * '''New!''' Blockchain-based Spectrum and Computation Resources Sharing in Mobile Networks=== | |||
The sixth-generation (6G) system is widely envisioned as a global network consisting of pervasive devices that interact with each other. Besides exchanging information, these peer entities also share heterogeneous and distributed network resources. Blockchain is a promising technology to secure resource sharing in a peer-to-peer way. We need students for this topic. We expect you have a background in computer network and programming skills in Python. | |||
Please contact Jin Xie [jin.xie@stud.uni-goettingen.de] | |||
=== * '''New!''' Using LLM for Sentiment Knowledge Graph Construction (B/M/P)=== | |||
Constructing a sentiment knowledge graph using Large Language Models (LLMs) like ChatGPT involves leveraging the model's capabilities to understand and analyze textual data, extract entities and relationships, perform sentiment analysis, and organize the information into a graph structure. We need students for this topic. We expect you have a background in knowledge graph and programming skills in Python. | |||
Please contact Wenfang Wu [wenfang.wu@cs.uni-goettingen.de] | |||
=== * '''New!''' Using LLM for Knowledge Graph Completion (B/M/P)=== | |||
Large language models (LLMs), such as ChatGPT and GPT-4 (OpenAI, 2023), have extensive internal knowledge repositories from their vast pretraining corpora, which can be used as an extra knowledge base to alleviate information scarcity for the long-tail entities in Knowledge Graphs. However, there is no effective workflow design for LLM on KGC tasks. How to leverage the LLM to perform reasoning on the KG Completion (KGC) task is a noteworthy and significant topic. We need students for this topic. We expect you to have a background in knowledge graph and LLMs, you'd better have a programming skill in Python. | |||
Please contact Tong Shen [shen.tong@cs.uni-goettingen.de] | |||
=== * '''New!''' Tree Growth Detection using Satellite Images and Computer Vision Methods (B/M/P) === | === * '''New!''' Tree Growth Detection using Satellite Images and Computer Vision Methods (B/M/P) === | ||
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Please contact Dr.Tingting Yuan [tingting.yuan@cs.uni-goettingen.de ] and Weijun Wang [weijun.wang@informatik.uni-goettingen.de](B/M/P) | Please contact Dr.Tingting Yuan [tingting.yuan@cs.uni-goettingen.de ] and Weijun Wang [weijun.wang@informatik.uni-goettingen.de](B/M/P) | ||
== Ongoing Topics == | == Ongoing Topics == | ||