Recipient of the NSF CAREER Award (2024) and NSF CISE CRII Award (2021). His research has been recognized with several awards, including the ACM/IEEE SC'24 Best Student Paper Finalist, the ACM e-Energy'21 Best Paper Runner-Up Award, and the IEEE MASCOTS'18 Best Paper Runner-Up Award. His research has been supported by NSF, ARO, NIH, and DOE.
Research Experience
Currently an Assistant Professor of Data Science in the Department of Applied Mathematics and Statistics and the Department of Computer Science at Stony Brook University, SUNY. Also a core faculty member of the AI Innovation Institute (AI3) and affiliated with the Institute for Advanced Computational Science (IACS). Previously, he was an assistant professor at SUNY-Binghamton and a postdoctoral researcher at the College of Information and Computer Sciences, University of Massachusetts Amherst, hosted by Prof. Don Towsley.
Education
Ph.D. in Computer Engineering from Texas A&M University in 2016, supervised by Prof. Srinivas Shakkottai; B.E. from Shanghai Jiao Tong University in 2012.
Background
Research Interests: Reinforcement Learning, Multi-Armed Bandits, Federated/Decentralized Learning, Stochastic Optimization and Control, RL with Human Feedback (RLHF) and Alignment for Large Language Models (LLMs), RL for LLM Reasoning and Agentic AI. Systems and Security: Large-Scale Networked and Trustworthy Intelligent Systems including LLMs, smart health, wireless networks, edge and cloud computing, caching and content delivery, serverless computing and Internet-of-Things.
Miscellany
Actively looking for highly motivated Ph.D. students and postdocs with strong background in machine learning; Delivered invited talks at various academic conferences and workshops; Served as an Area Chair or Program Committee member for multiple international conferences.