Prof. Zou Di is an Associate Professor in the Department of English and Communication and the Faculty of Humanities at The Hong Kong Polytechnic University. She holds a PhD in English from City University of Hong Kong and a TESOL certificate from Trinity College London. Her research expertise lies in educational technology, language education, computer-assisted language learning (CALL), game-based language learning, and artificial intelligence (AI) in language education.
With a strong research focus on educational technology in language education, Professor Zou has led and collaborated on over 20 research projects. She has published more than 220 research papers, primarily in SSCI- and Scopus-indexed journals, including Computers & Education, British Journal of Educational Technology, Computer Assisted Language Learning, Language Learning & Technology, and Systems. Her work has had a significant impact in the field, with a Google Scholar citation count of 11939 (as of July 2025), an h-index of 52, and an i10-index of 107. She has been recognized as one of the World's Top 2% Scientists by Stanford University for four consecutive years (2021–2024). Several of her papers in Computers & Education and Computer Assisted Language Learning rank among the Most Cited Articles in their respective journals.
Professor Zou's contributions to teaching and research have earned her numerous awards. She has received the Excellent Paper Award from the International Conference on Blended Learning and the International Conference on Open and Innovative Education. Her innovative teaching projects have been recognized internationally, winning the Gold Medal and Special Awards at the International Invention Innovation Competition in Canada (iCAN) and the Silver Medal at the International Innovation and Invention Competition (IIIC) in Taiwan.
Beyond her research and teaching achievements, Professor Zou plays an active role in academic publishing. She serves as an Associate Editor for Computer & Education (SSCI IF=8.9), Computers & Education: X Reality, and previously for the Australasian Journal of Education Technology (SSCI IF=4.1) (2021–2022). She is also an editorial board member for Education Technology & Society (SSCI IF=4.7) and the International Journal of Mobile Learning and Organisation. Additionally, she has led special issues for several prestigious journals, including Computers in Human Behavior (SSCI IF=9.0), Systems (SSCI IF=4.9), Education Technology & Society (SSCI IF=4.7), and Computers & Education: Artificial Intelligence (Scopus CiteScore=16.8).
Professor Zou’s extensive research, editorial contributions, and dedication to technological advancements in language education continue to shape the field and inspire scholars worldwide.
 

Prof. XIE Haoran received a Ph.D. degree in Computer Science from City University of Hong Kong and an Ed.D degree in Digital Learning from the University of Bristol. He is currently a Professor and the Person-in-Charge of Division of Artificial Intelligence, Acting Associate Dean of the School of Data Science, and Director of LEO Dr David P. Chan Institute of Data Science, Lingnan University, Hong Kong. His research interests include natural language processing, computational linguistics, artificial intelligence in education, and educational technology. He has published 438 research publications, including 262 journal articles. His Google Scholar citation count is 22654, with an h-index of 61 and an i10-index of 206. He is the Editor-in-Chief of Natural Language Processing Journal, Computers & Education: Artificial Intelligence, and Computers & Education: X Reality, and the Co-Editor-in-Chief of Knowledge Management and E-Learning. He has been selected as the World's Top 2% Scientists by Stanford University.

Lin Meng is a Professor at the College of Science and Engineering and head of the Intelligent High-performance Computing Lab., at Ritsumeikan University (RU), Japan. He received his Ph.D. from the Graduate School of Science and Engineering at RU 2012. He served as a Research Associate, Assistant Professor and lecturer at the Department of Electronic and Computer Engineering, RU from 2011 to 2018. In 2015, he was a visiting scholar in the Department of Computer Science and Engineering, University of Minnesota at Twin Cities, USA. His research interests include Computer Architecture, Parallel Processing, Intelligence High-Performance Computing (IHPC), FPGA-based Accelerator Design, the Internet of Things (IoT), and Artificial Intelligence (AI). He has published over 300 papers, including IEEE-TIM, IEEE-TASE, IEEE-TCE, IEEE-TSC, IEEE-TITS, IEEE-IoT J, IoT (Elsevier), ACM-JOCCH, AIRE, APIN, Information Fusion, Advanced Science, Neurocomputing, Heritage Science, etc. He also services several high-quality journals as an editor, such as IoT J, IJAMECHS, IJHMS, Biomimetics Intelligence and Robotics, Evolutionary Intelligence, etc. He is among the top 2% of scientists in the updated science-wide author databases of standardized citation indicators created by Elsevier in 2023, 2024, 2025. In the past five years, he received several funds from the Japan Society for the Promotion of Science (JSPS) and the Japan Science and Technology Agency (JST), etc. He is a senior member of IEEE and a member of ACM, IPSJ, IEICE, and IEE.

Huang Zhengxing is currently a professor and Ph.D. advisor at the Institute of Artificial Intelligence of Zhejiang University. His research focuses on the transformation of clinical decision-making paradigms—a cutting-edge interdisciplinary field that spans clinical medicine, information science, and data science. He conducts research on knowledge and data-driven intelligent clinical decision support methods, which encompass the processes from data to knowledge and from knowledge to decision-making.

Professor Huang has published or had accepted over 80 papers in prominent national and international academic journals and conferences in the areas of data mining and medical artificial intelligence, including JAMA Network Open, EClinicalMedicine, and IEEE TBME. His research work has been positively cited in numerous reviews, commentaries, and annual reviews of research associations, as well as authoritative journals such as JACC and PNAS. He has an H-Index of 28.

Currently, he serves as an associate editor or editorial board member for several key SCI-indexed journals in the field of medical artificial intelligence, including Artificial Intelligence in Medicine, npj Digital Medicine (a Nature Partner Journal), Journal of Biomedical Informatics, and BMC Medical Informatics and Decision Making. He is also a board member and the Deputy Secretary-General of the Healthcare and Bioinformatics Special Committee of the Chinese Information Processing Society, and serves on the program committees of various international academic conferences such as AIME and IEEE ICH.