I am a software engineer at Waymo, working on autonomous driving perception and mapping. Previously, I was a postdoctoral scholar in the Platform Lab at Stanford University, advised by Prof. Sachin Katti. My research focuses on networked systems problems at the intersection of machine learning, cyber-physical systems, edge computing, mobile sensing, and networking. I received my Ph.D. from Networked Systems Lab at University of Southern California, advised by Prof. Ramesh Govindan. During my Ph.D., I was also privileged with close collaboration with Prof. Konstantinos Psounis, and Prof. Marco Gruteser. My dissertation, titled “Networked Cooperative Perception: Towards Robust and Efficient Autonomous Driving”, presents systems and algorithms that enable cooperative perception among networked vehicles and infrastructure sensors that can substantially augment perception and driving capabilities.

[CV] [Google Scholar] [Dissertation]

Research Highlights:

  • Cooperative Autonomy: AVR [Mobisys'18], CarMap [NSDI'20], Coopernaut [CVPR'22], AutoCast [Mobisys'22]
  • System for Edge ML: FedML [NeurIPS'20(SpicyFL)], ML-EXray [MLSys'22], MCAL [ICLR'23]
  • Video Delivery & Analytics: CoBCast [Mobihoc'16], Kestrel [IoTDI'18]
  • Vehicular Sensing: CarLog [Sensys'14], CarLoc [Sensys'15], ContextSensing [TVT'17]

  • Recent News:

  • Jan 2023: MCAL accepted to ICLR' 23
  • Dec 2022: Served as a TPC member for Mobisys'23, AAAI'23 and ICPADS'23, reviewer for CVPR'23, ICRA'23, and CoRL'23
  • Sep 2022: Invited talk at the IEEE MFI'22 1st Cooperative Perception Workshop
  • Aug 2022: ML-EXray received the Outstanding Paper Award from MLSys'22
  • Jun 2022: Crowdsourced image processing accepted to IEEE Transactions on Mobile Computing (TMC)
  • Mar 2022: ML-EXray accepted as a talk at Kubernetes on Edge Day Europe 2022
  • Mar 2022: AutoCast accepted to Mobisys' 22
  • Mar 2022: Coopernaut accepted to CVPR' 22
  • Jan 2022: ML-EXray accepted to MLSys' 22
  • Sep 2021: Teaching Stanford EE292D: ML on Embedded Systems with Prof. Katti, Prof. Asgar and Pete Warden for Fall 2021
  • Aug 2021: Organizing a tutorial on 3D sensing at IEEE SmartComp'21