Greetings! 

I am Vipul, a fourth year PhD scholar at School of Industrial Engineering at Purdue University. I work in the field of Reinforcement Learning(RL) and Control Theory under the genius supervision of Sivaranjani Seetharaman. 

In RL, I am currently working on model-free policy gradient algorithms with convergence guarantees for intelligently parameterized RL policy under hard state-action coupled (e.g. safety) constraints. In Controls, I have been working on risk-tunable safe control design by learning environmental uncertainties and dynamical uncertainties.

During my 1st year at Purdue, I joined United States Army Research Laboratory for the summer of 2023 as an intern, and, worked on theory & applications in safe, and multi-agent reinforcement learning, with Wesley Suttle and Brian Sadler.

Before Purdue, I was an Optimization Engineer at Siemens India, and learning algorithms with application to Electricity Market Operations. I also conducted research in the field of RL applied on small-grids, and resource allocation via DERs (led to an IP).

I completed my master's from Department of Electrical Engineering at Indian Institute of Science(IISc) where I had the privilege of starting my research under the guidance of Pavankumar Tallapragada.

My Primary areas of interest are:

I enjoy photography, swimming, singing, playing guitar, table-tennis and badminton. I have been meditating daily for the last four years. I have also been nurturing my aptitude towards psychology and neuroscience. As a long-term research goal, I hope to apply mathematical tools in cognitive sciences, contributing towards theoretical frameworks for the human brains & behaviors. So far, I strongly believe that this is the best way for me to contribute back to the society.