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. My research focuses on building
efficient perception algorithms for autonomous systems that operate reliably in complex, real-world environments. I develop
lightweight multimodal architectures that enable robust object detection, segmentation, and scene understanding while remaining deployable on resource-constrained edge platforms.
My work spans
multimodal learning for autonomous perception,
state-space models for efficient sequential processing, and
HW-SW co-design of neural architectures for real-time edge inference. I am also interested in
large language models,
generative modeling,
efficient computer vision,
learning from unstructured data, and
quantum sensing, where I build simulation frameworks for quantum photonic sensors targeting low-power, high-precision applications. My research has been featured in top-tier venues including
CVPR,
WACV,
IJCNN,
IGARSS,
QIP,
IEEE Transactions on Radar Systems, and
Studies in Computational Intelligence.
