ABOUT ME
An early interest in machines and mechanisms motivated me to pursue an undergraduate degree in Mechanical Engineering, where I was introduced to control and modeling of dynamic systems. The challenges and limitations of analytical mathematical modeling led me to explore data driven approaches. This exposed me to the world of optimization, machine learning and AI. My interests eventually culminated into a passion for solving arguably the most difficult modeling problem - that of modeling natural intelligence. I currently develop approaches to tackle various aspects of this problem, such as the safe and scalable training of learning agents, incorportation of prior knowledge etc., and typically validate them through theoretical analyses or by deploying them on simulated and/or real-world learning agents.
My academic network (as of Aug, 2023)
A word-cloud of my Google Scholar page (as of Aug, 2023, generated using https://www.wordclouds.com/ )
Education
Research Interests
Reinforcement Learning
2006 - 2010
National Institute of Technology, Jalandhar, India
Bachelor of Technology, Mechanical Engineering
Context-aware reinforcement learning
Neuroevolutionary approaches
Work Experience
2010-2012
Asst. Manager, Tata Motors Ltd., Pantnagar, India
2019-2020
Associate Research Fellow, Applied Artificial Intelligence Institute, Deakin University, Australia
2020-till date
Research Fellow, Applied Artificial Intelligence Institute, Deakin University, Australia
Voluntary/Part-time Engagements
Feb 2011-Jul 2012
Volunteer Design Consultant, The Ann Foundation, United Nations online volunteer service
May-Jul, 2013
Graduate Student Researcher, Future Urban Mobility group, Singapore-MIT Alliance for Research and Technology
Aug-Dec, 2013
Research Engineer, Motion, Energy and Control (MEC) Lab, Singapore University of Technology and Design