I am a PhD student in the AeroAstro Department at the Massachusetts Institute of Technology. My research interest lies at the intersection of multi-agent reinforcement learning, graph neural networks, control and optimization approaches and their applications to autonomous control and navigation, collision avoidance, motion prediction, interaction modelling, sequential decision making and state estimation for intelligent autonomous systems (e.g., autonomous vehicles, mobile robots). In particular, my current research focuses on autonomous navigation/path-planning for multi-agent, multi-team systems in mixed competitive-cooperative settings and uncertain, dynamically evolving environments.
I did my SM at the Massachusetts Institute of Technology in the AeroAstro Department with a focus on Autonomy. I worked on using reinforcement learning for the crew-scheduling problem for my SM thesis and was advised by Prof. Hamsa Balakrishnan. You can read my SM thesis here.
I did my undergrad at Indian Institute of Technology Madras in the Electrical Engineering Department. I worked on improving object detection with reinforcement learning for my Bachelors Thesis and was advised by Prof. Balaraman Ravindran.
I interned at TCS Research and Innovation Lab, Mumbai in the summer of 2019 where I worked with Dr. Harshad Khadilkar on using reinforcement learning for the online version of 3D bin-packing. I spent the summer of 2018 as a research intern at Daimler AG, Sindelfingen, Germany where I worked with Dr. Hannes Gorniaczyk on finding the optimal camera parameters to capture images such that the object detection performance of pre-trained networks in optimised.
I would be glad to have discussions on exciting ideas related to robotics, reinforcement learning and anything related to engineering and science! If you have any exciting ideas to discuss, please drop me an email.