Keynote Speaker | 主讲嘉宾

Prof. Benny C. F. Cheung

The Hong Kong Polytechnic University, Hong Kong

Prof. Benny Cheung is Professor in the Department of Industrial and Systems Engineering of The Hong Kong Polytechnic University. Currently, he is an associate member of the International Academy for Production Engineering (CIRP). His research interest in Knowledge and Technology Management includes Artificial Intelligence, Knowledge-based Systems, Knowledge Auditing, Intellectual Capital Management, Intellectual Property Management, Technology Forecasting and Road Mapping, Knowledge Mining and Knowledge Systems Technology, etc.. Since 2004, he has rapidly built up his own research in knowledge and technology management (KTM), as well as enterprise systems. His research in KTM and enterprise systems encompasses broad-based research of methods and tools built on the basis of Information Processing and Artificial Intelligence Technologies for supporting the management of knowledge and technology for enterprises from various industries such as Manufacturing, Public Utilities, Social Services, etc. Up to present, he has authored and co-authored more than 250 refereed journal papers including more than 160 Science Citation Indexed (SCI)/Social Science Citation Indexed (SSCI) refereed journal papers. Prof. Cheung has received many research prizes and awards such as the 2008 ASAIHL-Scopus Young Scientist Awards–First Runner Up Prize in the category of “Engineering and Technology”, and Joseph Whitworth Prize 2010 by the Manufacturing Industrial Division of The Institution of Mechanical Engineers (IMechE), UK in 2011, a Gold medal in the 44th International Exhibition Inventions New Techniques & Products in Geneva, Switzerland in 2016, Winner of the IET Innovation Award for Manufacturing Technology in 2017, etc.


Prof. Mohsen Razzaghi

Mississippi State University, USA

Mohsen Razzaghi received his Bachelor's in Mathematics from the University of Sussex in England, his Master's in Applied Mathematics from the University of Waterloo in Canada, and his doctorate from the University of Sussex. He is currently a professor in the Department of Mathematics and Statistics at Mississippi State University (MSU) in the USA and has served as Head of the Department since 2006.
Dr. Razzaghi was honored to be offered two prestigious Fulbright fellowships for the academic years 2011-2012 and 2015-2016. During each period, he spent nine months at the Technical University of Civil Engineering of Bucharest in Romania, one of the most prestigious European universities. In addition, he received two Fulbright specialist awards, one at the University of Bucharest in Romania, starting in May 2019, and the other at the Prince of Songkla University in Thailand, beginning in September 2024. In addition, he secured several EU grants for an Erasmus+ project across various universities in Romania. Dr. Razzaghi was named a W.L. Giles Distinguished Professor in 2019 at MSU. The highest award the University can bestow upon a faculty member. He also received the Robert Wolverton Legacy Award in 2024.
Razzaghi's research area is in Applied and Computational Mathematics, which ranges from developing, analyzing, and implementing mathematical models and numerical methods in the sciences and engineering. He is particularly interested in optimal control, fractional calculus, orthogonal functions, wavelets, and engineering management. He has performed fundamental work and has made significant advances in these fields. He has over 290 refereed publications in high-quality international journals in the areas of applied mathematics, mathematical physics, and engineering. He presented over 230 talks at national/international conferences. These include numerous plenary and keynote lectures. Dr. Razzaghi supervised and directed the first student to complete a Ph.D. in Mathematical Sciences at MSU in August 1993. His thesis work resulted in eight refereed journal publications, one of which, coauthored with him, has been cited over 900 times.

Invited Speaker | 特邀演讲嘉宾

Dr. Nan Chen

Shanghai University, China

Nan Chen received the B.Sc. degree in industrial engineering and the Ph.D. degree in management science and engineering from Tsinghua University, Beijing, China, in 2014 and 2019, respectively. He is currently a Lecturer with the Department of Management Science and Engineering, School of Management, Shanghai University, Shanghai, China. His research interests include stochastic modeling, analysis, and design of systems, with a primary focus on the manufacturing and healthcare industry.


Assoc Prof. Yu Zhao

Tokyo University of Science, Japan

Dr. Yu Zhao is currently a Junior Associate Professor at the School of Management, Tokyo University of Science. He also serves as a visiting lecturer at the Institute of Statistical Mathematics, Japan. He obtained his Ph.D. in Information Science and Technology from Osaka University. His research primarily focuses on both the theoretical and practical aspects of statistical learning theory, operations research, and management science. His analytical approaches include machine learning and algorithmic learning methods, statistical inference and modeling, and mathematical programming, among others. His work has been published in journals such as Omega – The International Journal of Management Science, The European Journal of Operational Research, Expert Systems with Applications, and other reputable journals.


Dr. Kuangzhe Xu

Wuhan University of Cyber Security, China （under preparation）

Dr. Kuangzhe Xu currently serves as a Lecturer at the General Education Department of the Wuhan University of Cyber Security (under preparation). Previously, he was an Assistant Professor in the Institute for Promotion of Higher Education at Hirosaki University, Japan. Dr. Xu obtained his Ph.D. in Mathematical Information Science from Chiba University, Japan. His main research interests include cognitive science, behavioral science, and data science, with a particular focus on modeling and analyzing human gaze behavior and cognitive mechanisms using Bayesian statistical models. His research methodologies cover a broad spectrum, ranging from traditional statistical modeling to cutting-edge machine learning techniques, and from behavioral experiments to big data analysis. His work spans multiple interdisciplinary fields, including cognitive science, psychology, education, medicine, and language engineering. His research findings have been published in several high-impact international journals such as Scientific Reports and Journal of Eye Movement Research, and one of his papers was awarded by the Hokuriku Branch of the Japan Society for Oriental Medicine.