My research focuses on building programmable, efficient, and dependable computing infrastructure for diverse applications, including AI workloads and real-time interactive services, across datacenters and 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]
- [09/2026] NicOS and Programmable Scale-Up Switches accepted to appear at HotNets 2026
- [09/2026] Dooly accepted to appear at NeurIPS 2026
- [08/2026] Vulcan accepted to appear at EuroSys 2027
- [07/2026] Received an NSF VINES award for real-time agricultural robotics with AI-native cellular edge computing
- [07/2026] LFS accepted to appear at NSDI 2027
- [05/2026] PacketExpress accepted to appear at SIGCOMM 2026
- [03/2026] Mimesys accepted to appear at OSDI 2026
- [12/2025] SMEC accepted to appear at NSDI 2026
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
NicOS (HotNets'26) · Programmable Scale-Up Switches (HotNets'26) · 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 low-latency, real-time interactive applications with predictable performance, security, and resilience
SMEC (NSDI'26) · ARMA (MobiSys'25) · 5G Fronthaul Security (USENIX Security'24) · Slingshot (SIGCOMM'23) · Atlas (MobiCom'23)