Welcome to the Computer Networks Research Group

The Computer Networks group conducts research and teaching activities focusing on networked systems of all kinds, ranging from large-scale cloud data centers to tiny low-power IoT devices. In the era of AI proliferation, networked systems have become critical infrastructures for supporting both the training of large AI models in GPU clusters and the deployment of AI inference systems in IoT. Our research covers mainly these cutting-edge topics.

Open Po­s­i­tions

PhD Researcher

We are looking for a PhD student (pay grade TV-L E13) working on efficient data center systems for machine learning. We are particularly interested in candidates with experience in data center computing and networking.

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Student Research Assistant

We are looking for a student research assistant (SHK, up to 18 hours per week) to collaborate on a project about serverless inference systems for Large Language Models (LLMs).

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News

On Tuesday January 21, 2025, Prof. Dr. Lin Wang gave his inaugural lecture at Paderborn University on the topic of “Efficient and Sustainable Networked Systems for Connected Intelligence”.

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Our paper titled "It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation" has been accepted to the 39th IEEE International Parallel and Distributed Processing Symposium​​​​​​​, to be held in Milan, Italy during June 3-7, 2025. 

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Kamran Razavi completed his disputation in computer science on September 23, 2024, defending his thesis titled "Resource Efficient Inference Serving With SLO Guarantee."

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Re­search

We focus our research on networked systems and we strive to create concepts and methods to make networked systems, ranging from large-scale data centers to tiny Internet-of-Things (IoT) devices, more efficient and sustainable for modern machine learning applications. Our goal is to create better programming tools, middleware, and protocols, leveraging the capabilities offered by emerging hardware. Main research topics include: efficient and sustainable deep learning inference serving in data centers, time-sensitive mobile/edge AI inference, data center in-network computing, and battery-free Internet-of-Things. 

Teach­ing and Thes­is

Our teaching is focused on networked systems. Our recent, current, and upcoming course offerings are listed below. Note that the upcoming ones are projections based on offerings in last year and may be subject to changes. We offer thesis projects at both bachelor and master levels continuously. Please check this page for currently offered thesis/project topics.

Module Semester ECTS Language Lecturer
L.079.05506: Computer Networks (planned) WS25/26 5 English (German Q&A) Prof. Dr. Lin Wang
L.079.05820: Advanced Networked Systems SS25 6 English Prof. Dr. Lin Wang
Seminar: Networking for LLMs SS25 2 English Prof. Dr. Lin Wang
L.079.07058: Project Group: Sustainable Internet-of-Things (Continuation) SS25 10 English Prof. Dr. Lin Wang
L.079.05506: Computer Networks  WS24/25 5 English (German Q&A) Prof. Dr. Lin Wang
L.079.08020: Seminar: Programmable Networks WS24/25 2 English Prof. Dr. Lin Wang
L.079.07058: Project Group: Sustainable Internet-of-Things WS24/25 10 English Prof. Dr. Lin Wang
L.079.05820: Advanced Networked Systems SS24 6 English Prof. Dr. Lin Wang
L.079.08010: Seminar: In-Network Computing SS24 2 English Prof. Dr. Lin Wang
L.079.05506: Computer Networks WS23/24 6 English Prof. Dr. Lin Wang

 

 

Team

We are a dynamic, international team with members coming from different countries and with different backgrounds. Please check this page to know more about our group and all members.

Con­tact

Prof. Dr. Lin Wang

Computer Networks

Room O3.149
Paderborn University
Pohlweg 51
33098 Paderborn