My research focuses on making computing infrastructure programmable, efficient, and dependable, from datacenters to the network edge. I build abstractions and runtime systems for predictable performance and resilience, and develop methods to automate systems policy design and enable realistic evaluation.
Recent News [all]
- [07/2026] Received an NSF VINES award for real-time agricultural robotics with AI-native cellular edge computing
- [07/2026] LFS accepted to NSDI 2027
- [05/2026] PacketExpress accepted to SIGCOMM 2026
- [03/2026] Mimesys accepted to OSDI 2026
- [12/2025] SMEC accepted to NSDI 2026
- [09/2025] PacketExpress and PolicySmith accepted to HotNets 2025
- [08/2025] TraceLLM accepted to EMNLP 2025
Research Thrusts
Programmable, Efficient, and Resilient Datacenter Infrastructure
Abstractions and runtime systems for programming heterogeneous hardware, managing shared compute, memory, and network resources, and enabling efficient recovery from failures
Alkali (NSDI'25) · ExoPlane (NSDI'23) · RedPlane (SIGCOMM'21) · TEA (SIGCOMM'20)
Predictable and Resilient Real-Time Edge Computing
Systems and abstractions for sharing wireless network and nearby server resources to deliver predictable, secure, and resilient interactive applications
SMEC (NSDI'26) · ARMA (MobiSys'25) · 5G Fronthaul Security (USENIX Security'24) · Slingshot (SIGCOMM'23) · Atlas (MobiCom'23)