Welcome to the Computer Networks 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.

For student research projects (BSc, MSc, WHB/SHK) please check this page.

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 more efficient, scalable, usable, and sustainable. Our focus is on creating better programming tools, middleware, and protocols, leveraging the capabilities offered by emerging hardware. Our research has been generously supported by various funding sources including the German Research Foundation (DFG), the Dutch Research Council (NWO), Google Research, and Intel. 

In-Net­work Ac­ce­le­ra­ti­on

The emergence of programmable network devices (P4 switches, SmartNICs, and DPUs) has motivated a new concept called in-network computing. We are exploring how programmable network elements can better contribute to computation acceleration in the post-Moore's law era.

Sys­tems for Ma­chi­ne Lear­ning

Machine learning is powering many of our intellegent services in our daily life. Yet, serving computation-intensive machine learning workloads while meeting their stringent throughput/latency requirements remains a critical challenge. We are developing efficient network systems across the cloud and edge to support machine learning inference.

Su­staina­ble IoT

IoT systems are ubiquitous nowadays. Yet, virtually all IoT devices rely on battery to function. Batteries are hazardous, prone to disasters, and hard to maintain --- all indicating that current IoT systems are not sustainable. We are working towards sustainable IoT systems by removing completely the batteries from IoT devices.

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
Advanced Networked Systems (planned) SS25 6 English Prof. Dr. Lin Wang
Computer Networks  WS24/25 6 English (German Q&A) Prof. Dr. Lin Wang
Seminar: Programmable Networks WS24/25 2 English Prof. Dr. Lin Wang
L.079.07052: Project Group: Sustainable Internet-of-Things WS24/25 12 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

Head of the Group

Prof. Dr. Lin Wang

Rechnernetze
Raum O3.149
Universität Paderborn
Pohlweg 51
33098 Paderborn