Invited Speakers 邀请报告人

 

 

 

Prof. Yu XIONG, Chongqing University of Posts and Telecommunications, China

 

Yu Xiong is currently a Professor and Ph.D. Supervisor with Chongqing University of Posts and Telecommunications (CQUPT), and the executive director of  Chongqing Municipal Research Center for Educational Big Data. He also serves as the Vice Chairman of Technical Committee on Intelligent Education of Chinese Association of Automation (CAA), the Secretary General of Chongqing Higher Education Steering Committee for Teaching Informatization and Teaching Innovation, and the Senior Member of China Computer Federation (CCF). His research interests include artificial intelligence and smart education, pattern recognition and machine learning, and educational data mining. He has taken more than 20 research projects of provincial and ministerial level, including the National Natural Science Foundation of China, Chongqing Special Key Project for Technology Innovation and Application Development, Chongqing Key Research Project for Higher Education Teaching Reform, etc. He has published more than 60 academic papers in SCI, EI, CSSCI journals and conference proceedings. Besides, he was awarded 3 the first prize of Provincial and Ministerial-Level Science and Technology Awards and 1 the first prize of Provincial and Ministerial-Level Teaching Achievement Award.

 

 

Prof. Jianwen SUN, Central China Normal University, China

 

Jianwen Sun is currently a Professor and Ph.D. Supervisor with the National Engineering Research Center of Educational Big Data and Faculty of Artificial Intelligence in Education, Central China Normal University. His education qualifications include Bachelor and PhD degrees in educational technology, both from the Central China Normal University. He is currently serving as the Deputy Secretary General of Research Association of Learning Sciences, CAHE (China Association of Higher Education), and also the Deputy Secretary General of Technical Committee on Intelligent Education, CAA (Chinese Association of Automation). His research interests include educational data mining, computational learning sciences, and intelligent tutoring systems. He has authored or coauthored more than 30 papers in refereed journals and conference proceedings including Nature Computational Science, ACM TOIS, IEEE TNNLS/TEVC/TII/TLT/TCE, AAAI, WWW, and ACM MM. He is a member of the Association for Computing Machinery (ACM), Institute of Electrical and Electronics Engineers (IEEE), Chinese Association of Automation (CAA), and China Computer Federation (CCF).

Prof. Hywel Evans, Otsuma Women’s University, Japan

 

Dr. Hywel Evans has over forty years’ of experience in language education and research and has published scores of peer-reviewed scholarly papers in both linguistic theory and language teaching. He has presented his research at many conferences and has acted as chair of international conferences on a number of occasions. In addition, he has published textbooks and translations into English. He has a PhD in Theoretical Linguistics from the University of London, and he is vitally concerned with the intersection between linguistic theory and practical utility in language teaching. In particular, he is fascinated by how an understanding of human evolution can help us understand the process of learning as a way of bringing us back to basics in language education. Evidence from the phylogenetic domain prompts us to reconsider facets of theoretical linguistics that have had a profound effect on how we imagine that language-learning takes place. As a result, linguistic theory and practical applications can be re-worked and revived. He worked at Tsuru University, Yamanashi Prefecture, in Japan for many years, including a stint as head of the English Department. He is currently full-time professor at Otsuma Women’s University, in central Tokyo, in the Department of Language and Literature.

Assoc. Prof. Vincent CS LEE, Monash University, Australia

IEEE Senior Member

 

Vincent CS Lee is currently an Associate Professor with the Faculty of IT, Monash University and a Senior Member of IEEE. His education qualifications include Bachelor and Master degrees in EEE, both from the National University of Singapore; MBA from Henley Management College in Oxford, England; BBus (Hons 1st class in Economics & Finance) and MBus (Accountancy), both from RMIT University in Melbourne; and PhD degree from University of Newcastle, NSW in Australia. He is an active researcher and educator (with Graduate Certificate in Higher Education Teaching from Monash University) with 30 years as academicians for four universities including Monash University and Swinburne University, both in Melbourne, joint Monash-South East University in Suzhou, Nanyang Technological University in Singapore. He was visiting Professors with School of Economics and Management, and School of Computing and Technology, Tsinghua University in Beijing. Lee’s research and higher education teaching (developed and delivered undergraduate and postgraduate courses) span multi-disciplinary domains across IT, Digital Health, Signal and Information Processing, Financial Engineering (FinTech), Educational Data Mining (with learner-centric education technology tools), Explainable AI, Deep ML, Computer Vision for dynamic objects tracking, and Multi-agent Autonomous Systems. Lee has published 200+ papers in IEEE/ACM SCImago ranked Q1 High Impact factors of Journals, and in CORE A/A* Peer-review International Conferences proceedings (AAAI, IJCAI, ICDM, ICWS, ICDE, PAKDD, CIKM, WWW, IEEE IC Signal Processing, IC-EDM). Lee also served as invited keynote speakers for a number of these IEEE and ACM Flagship conferences’ and General Chair and Co-chair of steering committees and technical programs.

 

Assoc. Prof. Anuchai Theeraroungchaisri, Chulalongkorn University, Thailand

 

Dr. Anuchai Theeraroungchaisri is an Associate Professor in the Department of Social and Administrative Pharmacy at the Faculty of Pharmaceutical Sciences, Chulalongkorn University. Additionally, he serves as the Deputy Director of Thailand Cyber University at the Office of Higher Education Commission, Ministry of Education. Moreover, he holds the position of Deputy Director at the College of Pharmacy Administration of Thailand.
He gots a bachelor's degree in Pharmaceutical Sciences and pursued further education at Chulalongkorn University, where he earned a master's degree in Computer Sciences and a Ph.D. in Educational and Communication Technology. With his role as the deputy director of the Thailand Cyber University Project, he has overseen several significant initiatives, such as Thai MOOC (Thailand Massive Open Online Courses), The Higher Education Credit Bank System, TCU-Globe (Interoperability among the learning object repository network, enabling search through a single query), e-Learning Professional Development (the pioneering fully online training certificate program).
In 2022, he was recognized as the "Most Valuable Person in Educational Technology 2022" by the Thai Association of Education and Communication Technology, as announced during the 35th Annual Conference of Thailand Educational and Communication Technology. Furthermore, in 2019 he received the "Outstanding Pharmacist in Pharmacy Education 2019" award from The Pharmacy Council of Thailand.
His research interests encompass a wide range of topics, including MOOC Policy, Academic credit bank and credit transfer, Learning Design, Online Pedagogy, e-Portfolio, Technology-Enhanced Learning, Learning analytics, and Health Informatics.

 

 

 

Assoc. Prof. Fang XU, Nantong University, China

Associate Professor of Educational Technology, College of Educational Science, Nantong University, Master Supervisor, Ph.D., is engaged in the research of digitalisation in education. He has published more than 60 academic papers in domestic and international journals, including one SSCI source journal and 15 CSSCI source journals as the first author, of which two were reprinted in the Renmin University of China Newspaper and Periodical Reprints. He has published 6 academic monographs in Science Press, People's Publishing House, China Social Science Publishing House and Jilin University Press. He has presided over more than 20 projects, including the General Project of the National Social Science Foundation, the Key Project of the National Education Examination Scientific Research Planning Project, the Online Education Fund of the Ministry of Education, the Social Science Foundation of Jiangsu Province, the Social Science Foundation of Henan Province, the Key Research and Development and Promotion Programme of Henan Province (Soft Science Project), the Key Scientific Research Project of Henan Province Colleges and Universities, the Social Science Foundation of Gansu Province, the Key Project of the Chinese Society of Higher Education for Education Informatisation, and the National Scientific Research Project of Foreign Languages, and so on. He has won more than ten awards, including the Third Prize of Philosophy and Social Science Achievements of Jiangsu Universities, the First Prize of Excellent Scientific Research Achievement Award of Education Science Planning of Henan Province, the Second Prize of Excellent Scientific Research Achievements of Gansu Universities, the Second Prize of Philosophy and Social Science of Nantong City, and other various awards. He was awarded the 2020 Young Backbone Teachers of Universities in Henan Province. He is now an expert in appraising the achievements of the National Social Science Foundation.

 

Senior Researcher Dr. Feifei Han, Griffith University, Australia

 

Feifei Han is a researcher at Griffith Institute for Educational Research, Griffith University. She obtained her PhD from The University of Sydney in 2014. Her current research interests are in the areas of educational technology, learning analytics, STEM education, and learning and teaching in higher education. She serves as a lead editor of The Australasian Journal of Educational Technology. She has over 130 publications, some of which appear in top-quality journals in educational technology (e.g., The Internet & Higher Education, Computers & Education, and International Journal of Educational Technology in Higher Education) and higher education (e.g., Studies in Higher Education, Assessment & Evaluation in Higher Education, and Higher Education Research & Development). She has delivered keynote speech, invited talks, and presentations in over 90 international and national conferences and seminars. Her first-authored article “Students’ self-report and observed learning orientations in blended university course design: How are they related to each other and to academic performance?” has received “Top Cited Article Award 2020-2021” by the leading academic publisher – Wiley. In a recent bibliometric analysis of research in blended learning and teaching from 2013-2022, she is among the top four most prolific researchers, in the third place of the authors with the strongest citations, and the most cited author between 2020-2022 in blended learning and teaching. She is also on the Standford/Elsevier Top 2% Scientists List 2024 in educational research.

 

Assoc. Prof. Emad A. S. Abu-Ayyash, British University in Dubai, United Arab Emirates

 

Emad A. S. Abu-Ayyash is an associate professor of education/TESOL at the British University in Dubai, United Arab Emirates. He achieved his Ph.D in Education/TESOL from the British University in Dubai, in 2016, his M.A. degree (Hons) in translation from Yarmouk University, Jordan in 2007 and his B.A. degree (Hons) in English literature and linguistics from Yarmouk University, Jordan in 1996. His research interests and publications include areas such as TESOL, discourse analysis, teaching and learning, translation, assessment, and online education. Throughout his career, he provided training for hundreds of teachers on teaching methods and curriculum design. He participated in several local and international conferences in education.

 

Assoc. Prof. Guolong Quan, Jiangnan University, China

Dr. Quan is an Associate Professor at the School of Education, Jiangnan University, holding a PhD from East China Normal University. With over 15 years of interdisciplinary research experience spanning learning science and technology, educational informatization, and AI-integrated pedagogy, his expertise centers on e-learning systems, knowledge visualization design, and technology-enhanced educational innovation.
Dr. Quan has spearheaded multiple national and institutional research initiatives, focusing on knowledge representation in STEM education, experiential learning empowered by intelligent technologies, and digital literacy frameworks for smart education. His collaborative projects extensively explore the intersection of pedagogical theory, data-driven instructional design, and adaptive learning analytics.
Currently, his primary research investigates the application architecture of adaptive learning systems under evolving curricular and technological paradigms. This includes systematic analysis of system functionalities aligned with next-generation curriculum standards, evidence-based design of AI-assisted teaching models, and empirical evaluations to optimize intelligent educational practices. His work contributes to advancing scalable, personalized learning and teaching solutions in digitally transformed educational ecosystems.