Lin Wang is currently a Full Professor (W3) and Head of the Computer Networks group in the Department of Computer Science at Paderborn University. He received his Ph.D. in Computer Science from the Institute of Computing Technology, Chinese Academy of Sciences in 2015. Before joining Paderborn University, he was a tenured Assistant Professor in the Computer Systems group at Vrije Universiteit Amsterdam. Before that, he held (visiting) positions at TU Darmstadt, SnT Luxembourg, and IMDEA Networks Institute.

Research Interests

• Networked Systems
• Machine Learning Systems
• In-Network Computing
• Sustainable Internet of Things

Awards and Recognition

• Distinguished PC Member, INFOCOM 2024, 2025
• Second Best Paper Award, ISCC 2024
• Best Paper Award, IPCCC 2023
• Google Research Scholar Award, 2022
• Outstanding Paper Award, RTSS 2022
• IEEE Senior Member, since 2021
• Athene Young Investigator Award by TU Darmstadt, 2018
• Best Paper Award, HotPNS@ICNP 2016

Recent Services

• Associate Editor: IEEE Transactions on Services Computing
• PC Member:
  • 2025: SoCC, SYSTOR, ICDCS, MobiHoc, INFOCOM, IWQoS, ApPLIED@PODC
  • 2024: SoCC, ICDCS, SEC, MobiHoc, INFOCOM, IWQoS, ApPLIED@PODC
  • 2023: SoCC, Middleware, ICDCS, SEC, MobiHoC, ApPLIED@PODC
  • 2022: SoCC, MobiHoc, ICDCS, ApPLIED@PODC

Projects

• DFG SFB 1053 MAKI
• DFG-NSFC SmartEdge
• NWO Open Compeition XS INET
• NWO Open Compeition XS FREE

Courses

• Computer Networks
• Advanced Networked Systems
• Distributed Systems

Selected Recent Publications

• It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation. IPDPS 2025.
• InferCool: Enhancing AI Inference Cooling through Transparent, Non-Intrusive Task Reassignment. SoCC 2024.
• NetCL: A Unified Programming Framework for In-Network Computing. SC 2024.
• A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT. APNet 2024.
• 𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing. WWW 2024.
• Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. EuroMLSys 2024.
• Jellyfish: Timely Inference Serving for Dynamic Edge Networks. RTSS 2022.
• Live Video Analytics as a Service. EuroMLSys 2022.
• FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees. RTAS 2021.
• Switches for HIRE: Resource Scheduling for Data Center In-Network Computing. ASPLOS 2021.
• Don't You Worry 'Bout a Packet: Unified Programming for In-Network Computing. HotNets 2021.