I’m a PhD candidate in Electrical and Systems Engineering at the University of Pennsylvania, where I’m gratefully advised by Insup Lee and James Weimer. I’m also thankful for close collaborations with Dinesh Jayaraman and Oleg Sokolsky.

My research interests are at the intersection of machine learning and sequential decision making.

Currently, I am excited about deep reinforcement and imitation learning, neurosymbolic generative models, and robust deep learning, with applications in robotics, cloud computing, cyber-physical systems (autonomous vehicles, electric grids, etc.), and operations research.

Before starting my PhD, I graduated with honors from the Indian Institute of Technology Bombay in 2019.

Research Internships


  • Best Paper Award Nomination for CODiT at ICCPS 2023
  • Top Reviewer (top 10%), NeurIPS 2022
  • Outstanding Reviewer (top 10%), ICML 2022
  • NSF Travel Grant, ICCPS, 2023
  • Student Travel Grant, American Control Conference, 2022
  • The Dean’s Fellowship, University of Pennsylvania, 2019
  • The Howard Broadwell Fellowship, University of Pennsylvania, 2019
  • SN Bose Scholarship, Gov. of India, 2018
  • KVPY Fellowship, Gov. of India, 2015
  • Dan 1 (black belt), Shotokan Karate Association, 2011

My contact information is below.

Email: ksridhar@seas.upenn.edu.
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My research (and publications) are listed below. My CV can be found here.