Prof. Lin Wang, Ph.D.
Department of Computer Science
Paderborn University

Email: lin.wang@uni-paderborn.de
Address: Pohlweg 51, 33098 Paderborn, Germany

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I am a Full Professor (W3), leading the Computer Networks group at the Department of Computer Science at Paderborn University, Germany. Before that, I was a tenured Assistant Professor in the Computer Systems Group at the Department of Computer Science at Vrije Universiteit Amsterdam, The Netherlands from 2018 to 2023. I received my Ph.D. in Computer Science from the Institute of Computing Technology, Chinese Academy of Sciences in 2015. I have held (visiting) positions at IMDEA Networks Institute in Spain, SnT in Luxembourg, and TU Darmstadt in Germany.

I research networked systems. I am interested in creating concepts and techniques that make networked systems more efficient, scalable, and sustainable—by developing better programming tools and middleware.

I am the recipient of a Google Research Scholar Award (2022), an Outstanding Paper Award at RTSS 2022, Best Paper Awards at IPCCC 2023 and ISCC 2024, and an Athene Young Investigator Award of TU Darmstadt (2018). I am a Senior Member of IEEE.

News

• 26.09.2024: Paper on efficient cooling for AI inference accepted to ACM SoCC 2024.
• 17.09.2024: Invited to serve on the PC for IEEE ICDCS 2025.
• 25.07.2024: We have wrapped up course “Advanced Networked Systems” with all material available here.
• 08.07.2024: Paper on data exchange in battery-free sensing systems accepted to TMC.
• 28.06.2024: NetNN won the Best Paper Award (2nd place) at IEEE ISCC 2024. Congrats Kamran!
• 15.06.2024: NetCL (unified programming framework for in-network computing) accepted to IEEE/ACM SC 2024.
• 28.05.2024: Invited to serve on the PC for IEEE ICCD 2024.
• 20.05.2024: Invited to serve on the PC for ACM SoCC 2024 and IEEE INFOCOM 2025.
• 06.05.2024: I will give a joint keynote talk at CompSys and NCCV.
• 27.04.2024: Paper on accelerated synchronization for battery-free IoT accepted to ACM APNet 2024.

Selected Recent Publications

• [SoCC24] InferCool: Enhancing AI Inference Cooling through Transparent, Non-Intrusive Task Reassignment
• [SC24] NetCL: A Unified Programming Framework for In-Network Computing
• [APNet24] A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT
• [WWW24] 𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing
• [INFOCOM24] Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES
• [INFOCOM24] X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics
• [TMC24] Data On the Go: Seamless Data Routing for Intermittently-Powered Battery-Free Sensing
• [ToN22] Holistic Resource Scheduling for Data Center In-Network Computing
• [RTSS22] Jellyfish: Timely Inference Serving for Dynamic Edge Networks
• [CSUR22] Machine Learning for Computer Systems and Networking: A Survey
• [RTAS22] FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees
• [HotNets21] Don’t You Worry ‘Bout A Packet: Unified Programming for In-Network Computing
• [ASPLOS21] Switches for HIRE: Resource Scheduling for Data Center In-Network Computing
• [ToN21] Service Placement for Collaborative Edge Applications

Selected Academic Services

• Program committee: SoCC (2022, 2023, 2024), ICCD (2024), SEC (2023, 2024), INFOCOM (2024, 2025), MobiHoc (2023, 2024), ICDCS (2022, 2023, 2024, 2025), IWQoS (2024), Middleware (2023), ApPLIED@PODC (2022, 2023, 2024)
• Organizing committee: SIGCOMM (2022, 2023), Networking (2021), WEEE@e-Energy (2020), HotSALSA@INFOCOM (2019), ECN@ICCCN (2018, 2019)
• Journal reviewer: ToN, TPDS, TMC, JSAC, TECS, TOIT
• Proposal referee: DFG, ISF, HK-RGC

Projects

• NetCL: Unified Programming for Data Center In-Network Computing
• FREE: Self-Sustainable Internet-of-Things with Distributed Battery-Free Computing
• MAKI: Distributed Runtime Support with Quality-based Application Adaptation

My research has been generously supported by DFG (German Research Foundation), Google, Intel, and NWO.