Prof. XiaoLi Li (IEEE Fellow, AAIA Fellow), Nanyang Technological University, Singapore

Data mining, machine learning, artificial intelligence and bioinformatics

Dr. Li Xiaoli is the Department Head and Principal Scientist of the Machine Intellection (MI) department at the Institute for Infocomm Research (I2R), A*STAR, Singapore. He also holds adjunct full professor position at School of Computer Science and Engineering, Nanyang Technological University. He has been a member of ITSC (Information Technology Standards Committee) from ESG Singapore and IMDA since 2020 and has served as joint lab directors with a few major industry partners. He holds the title of IEEE Fellow and is also recognised as a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA).

Dr. Li  also served as a health innovation expert panel member for the Ministry of Health (MOH), as well as an AI advisor for the Smart Nation and Digital Government Office (SNDGO), Prime Minister’s Office, highlighting his extensive involvement in key Government and industry initiatives.

His research interests include AI, data mining, machine learning, and bioinformatics.  He has been serving as the Chair of many leading AI/data mining/machine learning related conferences & workshops (including KDD, ICDM, SDM, PKDD/ECML, ACML, PAKDD, WWW, IJCAI, AAAI, ACL, and CIKM). He currently serves as editor-in-chief of Annual Review of Artificial Intelligence, and associate editor of Knowledge and Information Systems, and Machine Learning with Applications (Elsevier).

Prof. Heng Luo, Central China Normal University, China

Case-based instruction, educational technology, MOOC, Learning Analytics

Prof. Heng Luo received his Ph.D. degree in Instructional Design, Development, and Evaluation from Syracuse University, and worked as a Research Associate at John A. Dutton e-Education Institute in the Pennsylvania State University for two years. He is currently a Professor and Associate Dean in the Faculty of Artificial Intelligence in Education, Central China Normal University. His research focuses on the effective integration of learning sciences, instructional design, and technologies.

Prof. Xiangen Hu, The Hong Kong Polytechnic University, China

Mathematical Psychology, Research Design and Statistics, and Cognitive Psychology

Prof HU Xiangen obtained his Bachelor of Science and Master of Science degrees, both in Applied Mathematics from the Huazhong University of Science and Technology in 1982 and 1985 respectively. He also received his Master of Arts degree in Social Sciences and Doctor of Philosophy degree in Cognitive Psychology from the University of California, Irvine in 1991 and 1993 respectively. Prof HU took up an Assistant Professorship at The University of Memphis in 1993 and was promoted to Associate Prof in 2000 and Prof in the Department of Psychology in 2009. Meanwhile, Prof HU has been appointed Prof and Dean of the School of Psychology in the Central China Normal University since 2016 on a visiting basis where he has established good connections with the Chinese mainland. He joined PolyU in Dec 2023 as Director of the Institute for Higher Education Research and Development.

Prof HU's research areas include Mathematical Psychology, Research Design and Statistics, and Cognitive Psychology. As an active researcher, Prof HU has secured significant research grants from various funding agencies, including the US National Science Foundation, US Institute for Education Sciences, US Army Medical Research Acquisition Activity, US Army Research Laboratories and US Office of Naval Research.