Published papers in conferences such as ICLR, NeurIPS, AAMAS, and ICCPS; Honored with awards including the Vanderbilt Provost’s Pathbreaking Discovery Award and the Vanderbilt C.F. Chen Best Paper Runner-Up Award.
Research Experience
Currently pursuing a Ph.D. at Vanderbilt University, focusing on intelligent decision-making systems; Master's research focused on securing connected and autonomous vehicles, receiving the Northwestern Best MS Computer Engineering Thesis Award.
Education
Ph.D. candidate in Computer Science at Vanderbilt University, supervised by Prof. Abhishek Dubey and Dr. Ayan Mukhopadhyay; M.S. in Computer Engineering from Northwestern University, advised by Prof. Qi Zhu; B.S. in Computer Engineering with a dual degree in Computer Science from Rensselaer Polytechnic Institute.
Background
Research interests include reinforcement learning, deep learning, and planning, with a focus on applications in autonomous cyber-physical systems. Particularly interested in developing innovative approaches for decision-making in high-dimensional, stochastic, and non-stationary environments, as well as enhancing the safety and efficiency of autonomous vehicles.
Miscellany
Serves as a reviewer and technical program committee member for several international conferences and journals, including ICLR, WWW, NeurIPS, KDD, and more.