I am a Ph.D. student in the
School of Electrical and Computer Engineering at the
Georgia Institute of Technology in Atlanta, advised by
Dr. Saibal Mukhopadhyay in the GREEN Lab. I develop
adaptive perception and closed-loop sensor control for robots with limited compute and memory. My work combines
radar, cameras, LiDAR, and event-based sensing with efficient learning models deployed on
Intel NPUs, NVIDIA Jetson, and FPGAs, and integrates them into real-time perception, planning, and navigation on
Boston Dynamics Spot and
LoCoBot.
My research spans
compute-adaptive state-space models and transformers for streaming sensor data,
multimodal sensor fusion (radar–camera and radar–event),
generative radar world models for Real2Sim2Real robot learning,
one-step generative models,
analog compute-in-memory for LLMs, and
quantum sensing. My work appears at
CVPR (Highlight),
NeurIPS,
WACV (Oral),
IEEE QCE,
IEEE Transactions on Radar Systems,
IGARSS, and
IEEE SSCI.
