Computer Networks

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. The group is headed by Prof. Lin Wang.

We are looking for multiple students assistants to join our group. Please get in contact if you are curious about our research.

News

29.06.2024

Paper Accepted to ACM/IEEE SC 2024

Our paper titled "NetCL: A Unified Programming Framework for In-Network Computing" has been accepted to the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) to be held in Atlanta, GA in November 2024.

29.06.2024

Second Best Paper Award @ IEEE ISCC 2024

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.

05.06.2024

Best ASCI PhD Thesis Award 2023

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

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

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 topics.

Module	Semester	ECTS	Language	Lecturer
Computer Networks	WS24/25	6	English (German Q&A)	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.079.07052: Project Group: Networked Systems	SS24	12	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.