Prof. Benjamin W.Wah, The Chinese University of Hong Kong, China IEEE Fellow, ACM Fellow, AAAS Fellow Benjamin W. Wah is a Research Professor at the Chinese University of Hong Kong, and Franklin W. Woeltge Professor Emeritus of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign. Previously, he served as the Provost and Wei Lun Professor of Computer Science and Engineering of the Chinese University of Hong Kong, as well as the Franklin W. Woeltge Endowed Professor of Electrical and Computer Engineering and Professor of the Coordinated Science Laboratory of the University of Illinois, Urbana-Champaign, USA. Wah received his Ph.D. degree in computer science from the University of California, Berkeley, CA, in 1979. He has received many awards for his research and service contributions, including the IEEE-CS W. Wallace-McDowell Award (2006), the IEEE-CS Richard E. Merwin Award (2007), the IEEE-CS Tsutomu Kanai Award (2009), the Distinguished Alumni Award in Computer Science of the University of California, Berkeley (2011), and the Bronze Bauhinia Star of the Hong Kong Self Administrative Region (2021). Wah's research interests are nonlinear search and optimization, multimedia technologies, and artificial intelligence. Wah co-founded the IEEE Transactions on Knowledge and Data Engineering in 1988 and served as its Editor-in-Chief between 1993 and 1996. He is the Co-Editor-in-Chief of Computers and Education: Artificial Intelligence and the Honorary Editor-in-Chief of Knowledge and Information Systems. In addition, Wah served the IEEE Computer Society in various capacities, including Vice President for Publications (1998 and 1999) and President (2001). He is a Fellow of the AAAS, ACM, and IEEE. |
Prof. Zhong Sun, Capital Normal University, China Zhong Sun, professor, doctoral supervisor. Deputies to the 16th People 's Congress of Beijing. School of Information Engineering, Capital Normal University, Head of Teacher Education, Vice President of Artificial Intelligence Education Research Institute. He served as a member of the Basic Education Informationization Teaching Steering Committee of the Ministry of Education, a member of the Primary and Secondary School Work Committee of the China Artificial Intelligence Society, a member of the Primary and Secondary School Digital Teaching Journal Committee, and a member of the Journal of Computer Assistant Learning. He presided over a number of topics such as the General Project of the National Natural Science Foundation of China, the Humanities and Social Science Research Planning Fund of the Ministry of Education, and the Beijing Education Science Planning. He has published more than 70 articles in SSCI and core journals of education. It has won the highest SERVE achievement award of the National Education Innovation Achievement Expo, the first batch of educational information application practice community projects in China, the Beijing Basic Education Teaching Achievement Award, the Capital Normal University Young Teachers ' Excellent Teaching Award, and excellent lecturers. Research direction :Technical support for teachers ' professional development and artificial intelligence education, modern educational technology, etc. |
Prof. Shadiev Rustam, Zhejiang University, China Prof. Rustam Shadiev is a Tenured Professor at the College of Education, Zhejiang University, Hangzhou, China, specializing in advanced learning technologies for language learning and cross-cultural education. He earned his Ph.D. in Network Learning Technology from National Central University in 2012. Prof. Shadiev is a Fellow of the British Computer Society (BCS), a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a member of the Association for Computing Machinery (ACM). He also serves as a Graduate Faculty Scholar in the College of Graduate Studies at the University of Central Florida, USA. In 2019, Prof. Shadiev was honored with the title of Distinguished Professor of Jiangsu Province, China. He has published over 200 academic studies, with half appearing in journals indexed by SSCI. Furthermore, he has been recognized as one of the most cited Chinese researchers in the field of education by Elsevier, Scopus, and Shanghai Ranking for four consecutive years, from 2020 to 2023. Prof. Shadiev serves on the Editorial Board of several prestigious journals, including the Journal of Educational Technology & Society, the Journal of Computer Assisted Learning, and Smart Learning Environments. He also guest edits special issues for various esteemed journals, such as the Journal of Educational Technology & Society, Sustainability, and Frontiers in Psychology. Research direction : Advanced educational technologies, language and culture learning Speech title:Advancing Language and Culture Learning through VR: From Basic Immersion to AI-enhanced Multilingual Interaction and Content Engagement |