Dr. Yidong Chai is an Associate Professor in the Department of Information Systems at the College of Business, City University of Hong Kong. His research focuses on designing innovative AI methods to support modern scientific management for individuals, organizations, and society. He employs a wide range of machine learning techniques, including large language models (LLMs), deep learning, Bayesian learning, adversarial learning, transfer learning, and federated learning. His application areas span smart healthcare management, information systems security and cyberspace governance, business intelligence, and fintech.

Dr. Chai has published in top-tier management science journals such as MISQ, ISR, JMIS, and INFORMS JOC (UTD/FT-listed), as well as top-tier computer science and AI journals such as IEEE TDSC, IEEE TPAMI, IEEE TKDE, and ACM TOIS (CCF A-listed). He has also published in top-tier Chinese journals such as管理科学学报. He has authored one academic monograph and holds dozens of authorized patents. He currently serves as an Associate Editor for ACM Transactions on AI Security and Privacy, Journal of Systems Science and Systems Engineering, and Industrial Management & Data Systems. He has led major research projects, including the National Excellent Young Scientists Fund.

Dr. Chai also supervises doctoral students at Hefei University of Technology (HFUT). One of his HFUT PhD students has joined the University of Science and Technology of China as an Assistant Professor. Under his mentorship, HFUT students have published first- or corresponding-author papers in top journals such as ISR, INFORMS JOC, IEEE TDSC, ACM TOIS, and 管理科学学报.