About me
I am a Research Scientist at Mitsubishi Electric Research Laboratories (MERL) in Cambridge, MA, working on the Control for Autonomy team. I recently completed my PhD in Mechanical Engineering at UC Riverside, advised by Prof. Fabio Pasqualetti.
My research develops algorithms for safe autonomy — using control barrier functions, diffusion models, and Koopman operator theory to build robots and autonomous agents that can plan and adapt reliably in uncertain environments.
Previously, I was a Research Intern at the Honda Research Institute, and a Research Assistant with Dr. Pavankumar Tallapragada at the Indian Institute of Science. I received my B.E. in Electrical and Electronics Engineering from RV College of Engineering, Bengaluru.
Safe generative sampling
CBF-guided diffusion with prescribed-time guarantees
Data-driven control
Feedback linearization via Koopman operator methods
Active probing
Uncertainty-aware intent inference for autonomous driving
News
- PhD Defended my dissertation — Unifying Generative Sampling and Data-Driven Control for Safe Autonomy March 2026
- Preprint Two new preprints on safe generative sampling, and control with constricting barrier functions — arXiv 2602.21429 and arXiv 2603.17003 February – March 2026
- Preprint Two new papers on dynamics-aware diffusion models for robotics and control — Paper 1, Paper 2 April 2025
- Talk Invited talk at USC — probabilistic perspectives for AI agent behavior and nonlinear control September 2024