I also have interest in studying adversarial game theory and work in collaboration with Prof. Milind Tambe (Teamcore group, USC) and Prof. Fei Fang (CMU) on finding optimal strategies for Stackelberg Security Games with Deep Learning.
Before this, I attended Indian Institute of Technology, Delhi where I got my undergraduate degree in Electrical Engineering. My primary focus was on Control Theory and Signal Processing and I was advised by Prof. Shouribrata Chatterjee .
I was also the Technical Secretary of Electrical Engineering Society at IIT Delhi (Aug 2012 - Aug 2013) and served as the General Secretary of the Electronics Club (August 2013 - May 2014) during my final year.
I am originally from New Delhi, India. I started my Ph.D. in Spring 2015 and currently live in Los Angeles, California.
My primary interest lies in understanding "understanding" itself. I want to figure out how the human mind works.
I work with Reinforcement Learning and Deep Learning to model agents capable of autonomous planning and learning. My goal is to develop structures and algorithms which would mimic human intelligence and would allow artificial agents to achieve at least the same level of understanding as humans.
My desire to understand the structure of intelligence has exposed me to Machine Learning, Psychology and Neuroscience although being a computer scientist, I have always focused more on the computational aspects of learning and intelligence.
I also work with adversarial game theory and develop algorithms to learn optimal strategies in Stackelberg Security Games. Previously, I have also worked with path planning and scheduling algorithms for autonomous Multirobot Resource Delivery Systems.