Professor Chen, Jiayu 陳佳玉
Professor Chen, Jiayu 陳佳玉
Jiayu Chen is an Assistant Professor in the Department of Data and Systems Engineering at The University of Hong Kong. From 2024 to 2025, he was a Postdoctoral Fellow at the School of Computer Science, Carnegie Mellon University. Dr. Chen received his Ph.D. in Industrial Engineering and Operations Research from Purdue University in 2024, and his B.Eng. from Peking University in 2020. His research focuses on reinforcement learning and robotics. Dr. Chen has published as first author in top venues such as NeurIPS, ICML, IJCAI, ICRA, and IEEE Transactions, and has received prestigious honors including the Oracle Research Award and the Purdue Research Grant.
| Year | Awarding Institution | Qualification |
|---|---|---|
| 2016 - 2020 | Peking University | Bachelor |
| 2020 - 2024 | Purdue University West Lafayette | Ph.D |
Jiayu Chen (陳佳玉) is an incoming Tenure-Track Assistant Professor at the Department of Data and Systems Engineering, The University of Hong Kong. Currently, he is a Postdoctoral Fellow at the School of Computer Science, Carnegie Mellon University, working under the supervision of Professor Jeff Schneider on data-driven profile control for nuclear fusion, as part of a joint research program with the Plasma Control Group, Princeton University.
Professor Chen earned his Ph.D. in Industrial Engineering and Operations Research from the Edwardson School of Industrial Engineering, Purdue University and a Bachelor of Engineering from the College of Engineering, Peking University. During his Ph.D., he was co-advised by Professor Vaneet Aggarwal (Purdue University), an expert in theoretical reinforcement learning, and Professor Tian Lan (George Washington University), an expert in multi-agent systems. During his undergraduate studies, he worked under the supervision of Professor Huijing Zhao (Peking University) and Professor Ching-Yao Chan (University of California, Berkeley), focusing on intelligent robotics and self-driving technologies.
He is the director of the Agentic Intelligence Lab, where his research focuses on Learning for Sequential Decision-Making and Continuous Control. Professor Chen has published extensively in top venues such as NeurIPS, ICML, ICRA, ICAPS, AAMAS, TMLR, and IEEE TNNLS as the first author. His work has been recognized with prestigious awards, including the Oracle Research Award and the Purdue Research Grant. Professor Chen has served as reviewers or program committee members for leading machine learning and robotics conferences and journals, including NeurIPS, ICML, ICLR, AAAI, ICRA, AISTATS, L4DC, TMLR, IEEE TNNLS, IEEE TITS, and SIAM SDM.
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