Presented papers and gave talks at various international conferences such as ACM MobiHoc, ACM SIGMETRICS, IEEE Military Communications Conference, etc. Invited to give talks at Arizona State University, New York University, Massachusetts Institute of Technology, California Institute of Technology, and Northeastern University. His work on adversarial reinforcement learning was recognized as a notable-top-25% (Spotlight) paper at the International Conference on Learning Representations in January 2023.
Research Experience
Worked as a Post-Doctoral Scholar at the Department of Electrical and Computer Engineering of The Ohio State University, Columbus, OH, USA, from 2022 to 2024, affiliated with the NSF AI-EDGE Institute, advised by Prof. Ness B. Shroff and Prof. Yingbin Liang.
Education
Received his Ph.D. degree in Electrical and Computer Engineering from Purdue University, West Lafayette, IN, USA, in 2022. His Ph.D. advisor was Prof. Xiaojun Lin.
Background
His research interests include Reinforcement Learning, Bandit Learning, and Online Learning; Online (Non-)Convex Optimization and Online Control; Networking, Wireless Communication, Edge-AI, cybersecurity, and network security; Recommendation Systems, Autonomous Vehicles, LLMs, and Diffusion.