Ph.D. (UCLA)
Choh-Ming Li Professor of Computer Science and Engineering
Fellow of ACM, Fellow of IEEE, Fellow of Croucher Senior Research, Fellow of Hong Kong Academy of Engineering Sciences
Online Learning Theory/Algorithm (MAB, RL), Network Science and Systems, System Security
Biography
John C.S. Lui is currently the Choh-Ming Li Chair Professor in the Department of Computer Science & Engineering (CSE) at The Chinese University of Hong Kong (CUHK). He received his Ph.D. in Computer Science from UCLA. After his graduation, he joined the IBM Laboratory and participated in research and development projects on file systems and parallel I/O architectures. He later joined the CSE Department at CUHK. He has been a visiting professor in computer science departments at UCLA, Columbia University, University of Maryland at College Park, Purdue University, University of Massachusetts at Amherst and Universit degli Studi di Torino in Italy. Currently, he is leading a group of students and post-docs in the Advanced Networking and System Research Laboratory (ANSRLab). His current research interests are in online learning algorithms and applications (e.g., multi-armed bandits, reinforcement learning), machine learning on network sciences and networking systems, large scale data analytics, network/system security, network economics, large scale storage systems and performance evaluation theory. John is an active consultant to industry, believing that it is an effective way to do technology transfer and a wonderful way to learn about real and relevant research problems. John is currently the senior editor in the IEEE/ACM Transactions on Networking, and has been serving in the editorial board of ACM Transactions on Modeling and Performance Evaluation of Computing Systems , IEEE Transactions on Network Science & Engineering, IEEE Transactions on Mobile Computing, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, Journal of Performance Evaluation, Journal of Network Science and International Journal of Network Security.