I'm currently a Ph.D student in Electrical Enigeering at UC Davis. I'm fortunate to be advised by Prof. Junshan Zhang.
My research interests primarily lie in reinforcement learning, distributed learning, and foundation model (world model) with applications in Autonomous Driving, IoT and Edge Computing. My passion is on bridging the theory and the applications in the real world. If you want to know more about my work, please feel free to drop me an email.
Education
Ph.D. student in Electrical Engineering, UC Davis, 2019-now (Advisor: Prof. Junshan Zhang)
B.Eng (Talent Honor) in Automation, USTC, 2014-2018
Award
University Graduate Fellowship, ASU, 2019-2020
Recent News
May-2024: Our open source platform “CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving” Arxiv is now available!
Mar-2024: Our work “L-MBOP-E: Latent-Model Based Offline Planning with Extrinsic Policy Guided Exploration” is accepted by IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST), congrats Imran!
24-April-2023: Aloha! My work “Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap” is accepted by ICML 2023 (Oral). See you in Hawaii!