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

PhD De­fen­se of Ga­os­heng Liu

Gaosheng Liu successfully defended his PhD thesis titled "Efficient Communication and Data Aggregation in Battery-Free Internet-of-Things" on April 2, 2025 at VU Amsterdam.

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In­au­gu­ral Lec­ture by Prof. Dr. Lin Wang

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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Pa­per ac­cep­ted to IE­EE IPD­PS 2025

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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Re­sea­rch

Detailaufnahme des Großcomputers Noctua an der Universität Paderborn.

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. 

Current Research Projects Publications

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

+49 5251 60-5375 E-Mail schreiben Wegbeschreibung

Sprechstunden

Nach Vereinbarung.