Publications: 'Semi-Supervised Safe Visuomotor Policy Synthesis using Barrier Certificates' accepted to 64th IEEE Conference on Decision and Control (CDC) 2025; 'A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems' accepted at 42nd International Conference on Machine Learning (ICML) 2025; 'BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen terrains' accepted at Indian Control Conference (ICC) 2024; 'Learning a Formally Verified Control Barrier Function in Stochastic Environment' accepted to 63rd IEEE Conference on Decision and Control (CDC) 2024; 'Polygonal Cone Control Barrier Functions (PolyC2BF) for safe navigation in cluttered environments' accepted at European Control Conference (ECC) 2024.
Research Experience
Working on Safe Robot Learning at Stochastic Robotics Lab; Actively collaborating with Prof. Somil Bansal at Stanford University and Prof. Andrew Clark at Washington University.
Education
PhD: Centre for Cyber Physical Systems, Indian Institute of Science (IISc) Bangalore, under the guidance of Prof. Shishir N. Y. Kolathaya and Prof. Pushpak Jagtap; B.Tech: Indian Institute of Technology Bombay (IITB), graduated in 2021.
Background
Research Interests: Intersection of Control, Optimization, and Machine Learning, with a focus on safety enforced decision-making in dynamical systems. Developing methods that integrate learning with formal guarantees to ensure constraint satisfaction and robust performance in uncertain, data-driven environments.
Miscellany
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