About
I am a CS PhD Candidate at The University of Texas at Dallas, advised by Dr. Yunhui Guo. Prior to this, I earned my MS in Electrical Engineering from the University of Southern California. I completed my BTech in Electrical and Electronics Engineering at the International Institute of Information Technology (IIIT), Bhubaneswar, India.
I'm interested in building adaptive, efficient, and robust AI systems that keep learning when the world changes. My work spans continual learning, multimodal perception, and real-time motion planning and reasoning for autonomous driving.
Areas of interest: Computer Vision, Multimodal AI, Physical AI.
Sub areas: Continual Learning/Adaptation, Robust and Efficient Perception, On-Device AI, Autonomous Driving.
Open to research conversations & collaborations. Feel free to reach out!
Publications
My full publication record is available on Google Scholar.
2026
2025
2024
2021
Miscellaneous
Experience
I work across academic and industrial research, connecting fundamental questions.
NEC Laboratories America, Inc.
Research Scientist Intern
Real-time reasoning and closed-loop trajectory planning for autonomous driving in long-tailed scenes.
Dolby Laboratories, Inc.
PhD Research Intern
Robust audio-visual learning in continual learning settings.
The University of Texas at Dallas
PhD Candidate · Computer Science
Advised by Dr. Yunhui Guo in the Data Efficient Intelligent Learning Lab.
Workshops
1st Workshop on Multimodal Continual Learning
Organizer
2nd Workshop on Test-Time Adaptation
Co-organizer
News
Received an ECCV 2026 travel award; will also review for AAAI 2027.
Our continual test-time adaptation survey was accepted to TMLR.
AVReCAP was accepted to ECCV 2026.
I'll be joining NEC Laboratories America to work on real-time reasoning and planning for autonomous driving.
Returned to reviewing for NeurIPS 2026.
Variational Diffusion Unlearning was accepted to TMLR.
AVROBUSTBENCH was accepted to NeurIPS Datasets & Benchmarks.
Received a travel grant from the ICCV community!
BATCLIP was accepted to ICCV 2025.
We will organize the 1st Workshop on Multimodal Continual Learning at ICCV 2025.
Old news 2024 — 2026
Passed my qualifying examination and became a PhD candidate.
We will co-organize the 2nd Workshop on Test-Time Adaptation at ICML 2025.
I'll join Dolby Laboratories as a PhD Research Intern for Summer 2025.
PALM was accepted to AAAI 2025 as an oral presentation.
Served as a reviewer for CVPR 2025.
Variational Diffusion Unlearning was accepted to the NeurIPS SafeGenAI Workshop.
Our submodular optimization work for active 3D object detection was accepted to NeurIPS 2024.
Served as a reviewer for ICLR 2025.
Our work on DNN watermarking was accepted to ECCV 2024.
Contact
I’m always glad to discuss research collaborations and emerging ideas. I have a knack for finding interesting problems or digging into the teeny-tiny details of a paper. Feel free to contact!