I am a Ph.D. candidate in Electrical and Systems Engineering at the University of Pennsylvania, advised by Prof. Manfred Morari.
My research interests lie in machine learning, robotics, control theory, optimization and statistics. Applications include autonomous racing and building control. Check out my CV.
Previously, I have worked as an Applied Scientist Intern at AI Labs in Amazon Web Services, where I jointly worked with Robotics AI and AWS RoboMaker. In 2018, I co-founded Flexergy AI, a SBIR company that provides data-driven energy- and cost-efficient solutions for building control and energy analytics. In 2014, I had the pleasure of working at the Mercedes Benz Research and Development in Stuttgart, Germany in joint collaboration with the Institute for Dynamic Systems and Control. At ETH Zurich, I also worked at the Automatic Control Lab. I was an Intern at ABB Corporate Research, Baden-Dättwil, Switzerland in 2013-14. ABB was kind enough to feature me on their webpage :)
I received an M.S. degree in Robotics, Systems and Control from ETH Zurich, Switzerland in 2015 and a B.Tech. degree in Mechanical Engineering from the Indian Institute of Technology Delhi, India in 2012.
For my research on data-driven energy- and cost-efficient solutions for building control, I received the Best Paper Award at the International Conference on Cyber-Physical Systems (ICCPS) 2018, the Energy Systems Best Paper Award at the American Control Conference (ACC) 2017 and the Best Presentation Award at BuildSys 2016. I am a recipient of the Swiss Government Excellence Scholarship.
|May 11, 2020||New publication “BayesRace: Learning to race autonomously using prior experience” available on arXiv|
|Mar 5, 2020||Paper titled “NeurOpt: Neural network based optimization for building energy management and climate control” accepted at L4DC 2020! Check out on arXiv|
|Feb 12, 2020||New publication “Computing the racing line using Bayesian optimization” PDF CODE|
|Jan 21, 2020||Paper titled “TunerCar: A superoptimization toolchain for autonomous racing” accepted at ICRA 2020. PDF|
|Jan 15, 2020||Defended my thesis proposal!|
|Nov 21, 2019||Tutorial on Hindsight Experience Replay in STAT991 Deep Learning course in Wharton. Check out the slides|
|Oct 10, 2019||Talk on Autonomous Robotic Manipulation using Deep Reinforcement Learning at Amazon India, Bangalore|
|Jul 13, 2019||Talk on “Learning and Control using Gaussian Processes” at Amazon Machine Learning Conference (AMLC) 2019 in Seattle|
|May 2, 2019||Review of Fast Nonconvex Optimization in STAT991 course – Optimization Methods in Machine Learning. Check out the slides|
|Sep 28, 2018||Talk on “Bridging Machine Learning and Control for Intelligent Buildings” at TEDergy event held at the Building Performance Analysis Conference and SimBuild, Chicago|
|Jul 8, 2018||Talk on “Bridging Machine Learning and Control for Intelligent Buildings” at the Intelligent Building Operations Workshop at Purdue University|
|May 7, 2018||Penn Engineering published an article on our recent work|
|Apr 13, 2018||Best Paper Award at ICCPS 2018! Go to the article or checkout the talk|