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

Our paper titled "NetNN: Neural Intrusion Detection System in Programmable Networks" won the Second Best Paper Award at the 29th IEEE Symposium on Computers and Communications (ISCC) held in Paris, France.

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Dr. Vinod Nigade, co-advised by Prof. Lin Wang, received the Best ASCI PhD Thesis Award 2023.

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On May 28, 2024, Prof. Lin Wang gave a joint keynote for CompSys & NCCV 2024. The title of the keynote talk is "Sustainable Deep Learning: A Systems Perspective".

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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.

 

The following modules will be offered regularly in the coming years. 

  • Lecture: Computer Networks (BSc) - Winter Semsters
  • Lecture: Distributed Systems (BSc) - Winter Semester
  • Lecture: Advanced Networked Systems (MSc) - Summer Semsters

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

Rechnernetze

Raum O3.149
Universität Paderborn
Pohlweg 51
33098 Paderborn

Sprechstunden

Nach Vereinbarung.