545 Cory Hall

Berkeley, CA 94705

My research interests lie in using elements of Control Theory, Formal Methods, Machine Learning and Optimization to solve problems in Safe Autonomy of Robotic and other Cyber-Physical Systems, and Human-Robot Interaction. [Curriculum Vitae]

I am currently a Postdoctoral Fellow in the EECS Department at UC Berkeley. As a part of the VeHICaL project, I am mentored by Professors Sanjit Seshia (primarily) and Bjoern Hartmann.

Prior to this, I was a PhD student in the Department of Electrical and Systems Engineering, at the University of Pennsylvania where I worked on developing Robust Predictive Methods for Planning and Control of Autonomous Systems as a part of Prof. Rahul Mangharam’s Real-Time and Embedded Systems Lab.

Computationally tractable solutions, that potentially solve real problems, are a recurring theme across my research. More often that not, the algorithms we develop are implemented on actual Cyber-Physical Systems, some of which are: multiple Crazyflie 2.0 quad-rotors, a 1/10th scale autonomous car, a hex-rotor platform, a hardware-in-the-loop vehicle ECU simulator, a scaled down hybrid powertrain for Electric Vehicles, and a self-balancing, fully enclosed electric motorcycle.