I am a Full Professor (W3) and Head of the Computer Networks group in the Department of Computer Science at Paderborn University. I am generally interested in the design, implementation, and evaluation of cloud- or mobile-based networked systems for supporting demanding workloads such as AI/ML inference and live video analytics. I received my Ph.D. in Computer Science from the Institute of Computing Technology, Chinese Academy of Sciences in 2015. Before joining Paderborn University, I was a tenured Assistant Professor in the Computer Systems group at Vrije Universiteit Amsterdam. Before that, I held (visiting) positions at TU Darmstadt, SnT Luxembourg, and IMDEA Networks Institute.
Updates:- 01.2026: Paper on vLLM startup latency analysis accepted to MLSys 2026.
- 01.2026: Invited to the program committee of ACM EuroSys 2027.
- 12.2025: Invited to the program committee of IEEE ICDCS 2026 and IEEE IWQoS 2026.
- 12.2025: Invited to the program committee of ACM SoCC 2026, ACM MobiHoc 2026, and ACM ApPLIED@PODC 2026.
- 10.2025: Project on serverless in-network computing funded by DFG.
- 09.2025: Invited to serve as a senior program committee member for ACM Web Conference 2026.
- 06.2025: Uirapuru accepted to ACM MobiCom 2025.
Recent Publications
- Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices. MobiCom 2025.
- 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.
- X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics. INFOCOM 2024.
- Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES. INFOCOM 2024.
- Jellyfish: Timely Inference Serving for Dynamic Edge Networks. RTSS 2022.
- Live Video Analytics as a Service. EuroMLSys 2022.
- Retention-aware Container Caching for Serverless Edge Computing. INFOCOM 2022.
- Optimal Admission Control Mechanism Design for Time-Sensitive Services in Edge Computing. INFOCOM 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.
- Clownfish: Edge and Cloud Symbiosis for Video Stream Analytics. ACM/IEEE SEC 2020.
- Letting off STEAM: Distributed Runtime Traffic Scheduling for Service Function Chaining. INFOCOM 2020.
Awards and Recognition
- Google Research Scholar Award, 2022
- Outstanding Paper Award, RTSS 2022
- Second Best Paper Award, ISCC 2024
- Best Paper Award, IPCCC 2023
- Best Paper Award, HotPNS@ICNP 2016
- IEEE Senior Member, since 2021
- Athene Young Investigator Award by TU Darmstadt, 2018
- Distinguished PC Member, INFOCOM 2024, 2025
Projects
- DFG SINA
- DFG SFB 1053 MAKI
- DFG-NSFC SmartEdge
- NWO Open Compeition XS INET
- NWO Open Compeition XS FREE
Courses
- Computer Networks
- Distributed Systems
- Advanced Networked Systems
Recent Services
- Associate Editor: IEEE Transactions on Services Computing
- PC: ACM SoCC (2022-2026), ACM SYSTOR (2025), IEEE ICDCS (2022-2025), ACM/IEEE SEC (2023, 2024), ACM MobiHoc (2022-2026), IEEE INFOCOM (2024-2026), IEEE IWQoS (2024-2026), ACM ApPLIED@PODC (2022-2026), ACM Middleware (2023)