Keynote SPEAKER 主旨报告
Shigang Chen, IEEE Fellow
University of Florida, America
Dr. Shigang Chen (sgchen@cise.ufl.edu) is a professor with Department of Computer and Information Science and Engineering at University of Florida. He received his B.S. degree in computer science from University of Science and Technology of China in 1993. He received M.S. and Ph.D. degrees in computer science from University of Illinois at Urbana-Champaign in 1996 and 1999, respectively. After graduation, he had worked with Cisco Systems for three years before joining University of Florida in 2002. His research interests include data streaming, Internet of things, cybersecurity, RFID technologies, intelligent cyber-transportation systems, etc. He published over 200 peer-reviewed journal/conference papers. He received the NSF CAREER Award and several best paper awards. He holds 13 US patents, and many of them were used in software products. He served as an associate editor for IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking and a number of other journals. He served in various chair positions or as committee members for numerous conferences. He held the University of Florida Research Foundation Professorship and the University of Florida Term Professorship. He is a Fellow of IEEE and an ACM Distringuished Scientist.
Qingfu Zhang, 长江学者、IEEE Fellow
City University of Hong Kong, Hong Kong, China
Qingfu Zhang is a Chair Professor of Computational Intelligence at the Department of Computer Science, City University of Hong Kong. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. MOEA/D developed by his team has been one of the most widely used multiobjective optimization methodologies.
Professsor Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions on Cybernetics. He is a Web of Science highly cited researcher in Computer Science for five consecutive years from 2016. He is an IEEE fellow.
张青富,香港城市大学电脑科学系计算智能讲座教授、长江学者、IEEE Fellow。2016至2022连续入选Web of Science计算机科学领域的高被引学者,Google Scholar总引用超过33,000次。主要从事智能计算、多目标优化及机器学习方面的研究。他提出的多目标分解算法框架MOEA/D已成为目前多目标进化计算领域最常用的两种框架之一。