Prof. Xiaoli Li, Nanyang Technological University, Singapore

IEEE Fellow ；AAIA Fellow

Prof. Li is currently a department head (Machine Intellection department, consisting of 100+ AI and data scientists, which is the largest AI and data science group in Singapore) and a principal scientist at the Institute for Infocomm Research, A*STAR, Singapore. He also holds an adjunct professor position at Nanyang Technological University (he was holding an adjunct position at the National University of Singapore for 6 years). He is an IEEE Fellow and a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA). Prof. Li is also serving as KPMG-I2R joint lab co-director. He has been a member of the Information Technology Standards Committee (ITSC) of ESG Singapore and the Infocomm Media Development Authority (IMDA) since 2020. Moreover, he serves as a health innovation expert panel member for the Ministry of Health (MOH), an expert panel member for the Ministry of Education (MOE), and 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.

The machine intelligence department has established itself as a leader in the industry, with a proven track record of successful collaborations with various partners, including SIA, KPMG, Lam Research, Global Foundations, DBS, Singtel, Mclaren, AIA, Standard Chartered Bank, NEC, and NCS. Moreover, the department has also achieved remarkable success on the international stage, having won prestigious competitions such as the IJCAI Competition (Stage 1), which is considered the top AI conference in the world, in 2015, and the KDD Cup (Part of the First Place Winning Team), which is the best data mining competition in the world, in the same year. Additionally, the department also emerged victorious in the GE Flight Quest Challenge in 2013, further solidifying its reputation as a world-class research team.

Prof. Li's research interests span a wide range of topics, including data mining, machine learning, artificial intelligence, and bioinformatics. He is highly respected in the academic community and has served in various leadership positions (area chairs, senior PC members, workshop chairs, and session chairs) in the most prominent AI/data mining/machine learning-related conferences, such as KDD, ICDM, SDM, PKDD/ECML, ACML, PAKDD, WWW, IJCAI, AAAI, ACL, and CIKM. Additionally, he has also edited six books and has numerous highly cited papers, with over 20,000 citations and 70+ h-indexes. 

Prof. Fuan Wen, Beijing University of Posts and Telecommunications, China

Professor Fuan Wen is a third level professor at Beijing University of Posts and Telecommunications, head of the Education Technology discipline, director of the Network Teaching System Research Center of the Beijing Key Laboratory of Network Systems and Network Culture, deputy director of the National Electronic Information Virtual Simulation Experimental Teaching Center, vice president of the Virtual Reality Education Application Research Institute of the Education Equipment Research and Development Center of the Ministry of Education, member of the Technical Work Committee of the Virtual Simulation Experimental Teaching Innovation Alliance, member of the Vocational and Technical Work Committee of the Laboratory Management Branch of the China Higher Education Society, and special education supervisor of the Beijing Municipal Government.

Since 1997, he has been engaged in the research of Internet teaching application and virtual simulation experiment technology for educational and teaching applications. Completed multiple national scientific and technological breakthroughs and 863 projects.

Research fields: Educational Technology and Computer Application Technology Disciplines

Prof. Xinguo Yu, Central China Normal University, China

IEEE & ACM Senior Member 

Prof. Yu Xinguo is the Dean of the CCNU Wollongong Joint Institute and a Professor at the National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China. He also holds an adjunct professorship at the University of Wollongong, Australia. He is the Chair of the Hubei Society of Artificial Intelligence in Research and Education. Prof. Yu's research primarily focuses on intelligent educational technology, intelligent research, educational robotics, multimedia analysis, computer vision, and machine learning. With over 170 published research papers, he is a recognized leader in his field. Prof. Yu serves as an Associate Editor and Guest Editor for several international journals and has contributed significantly to the global academic community by serving as General Chair, Keynote Speaker, and Program Chair for more than 30 international conferences. Since 2021, he has pioneered and led the annual International Conference on Intelligent Education and Intelligent Research.

Research fields: Education human-computer interaction, intelligent education systems, automatic answers, educational robots, intelligent education

Prof. Shuai Liu, Hunan Normal University, China

EAI Fellow, IEEE Member 

Shuai Liu, was born in Oct.27 1982. He received his BS, MS and PhD from Jilin University in 2002, 2004, and 2011.

Now he acts as a full professor, director of multidisciplinary research team on educational informatization and intelligence in Hunan Normal University.

He is now a DM of China Computer Federation, Evaluation expert of China Academic Degrees & Graduate Education, Evaluation Expert of National Natural Science Foundation of China. His research area contains multimodal information processing, computer vision, and intelligent educational technology. He now publish 70+ journal papers in IEEE/ACM Trans/journal, Springer, Elsevier and so on, with total citation 6000+. Dr. Shuai Liu acts as an editorial role for many journals on Springer, Elsevier, World scientific, PloS et al.

Research fields: Intelligent Education; Educational Artificial Intelligence

Speech title：AI in Classroom Evaluation——Take High-quality Educational Behaviors for Classroom Teaching

Prof. Jiyou Jia, Peking University, China

Dr. Jiyou Jia is a full professor and the Head of the Department of Educational Technology, Graduate School of Education, Peking University, China and is also the founding director of International Research Center for Education and Information at Peking University. He was invited to work as a guest professor in 2015 by School of Education, Technical University of Munich, Germany, and Distinguished Professor at Institute for Research in Open and Innovative Education, the Open University of Hong Kong in 2017. His research interests include educational technology and artificial intelligence in education, especially in TELL (Technology Enhanced Language Learning), math education with ICT, and decision making support system. Jia has published more than 150 articles in internationally or nationally peer-reviewed journals and conferences including Computers and Education, Knowledge-Based Systems, etc. He has edited one book and authored another one, both written in English and published by IGI Global, USA. He is also the author of one Chinese book and one book in German. He serves as a reviewer for several international journals indexed in SCI/SSCI, a co-chair or PC member of more than 20 international conferences including ICCE, ICALT and GCCCE, and an advisory expert for some scientific and governmental organizations. He has been responsible for a dozen of national projects and international cooperation projects. His research has won a number of national and international prizes including Outstanding Paper Award from Emerald Publishing 2023, the First Class Award of the Fifth National Award for Outstanding Achievements in Educational Research, from Ministry of Education, China 2016, and IAAI (Innovative Application of Artificial Intelligence) Deployed Application Award by AAAI (Association of Advancement of Artificial Intelligence), USA, 2008.

Research fields: educational technology and artificial intelligence in education

Speech title：Applying Artificial Intelligence (AI) in Education: Two Case Studies

Prof. Heng Luo, Central China Normal University, China

Heng Luo received his Ph.D. degree in Instructional Design, Development, and Evaluation from Syracuse University in 2015, and worked as a Research Associate at John A. Dutton e-Education Institute in Pennsylvania State University for two years. He is currently an Associate Professor and Department Head in the Faculty of Artificial Intelligence in Education, Central China Normal University. His research work focuses on the effective integration of learning sciences, instructional design, and AI technologies to promote quality and equity of education in diverse contexts. Dr. Luo has been initiating socially responsive research programs that address the urgent needs and pressing issues in nowadays educational paradigm, such as inclusive e-learning, mental health education, safety education, and student development, leading to over 40 publications in SCI/SSCI journals. His academic contribution has been recognized with scholarly awards such as TICL Outstanding International Research Collaboration Award of AERA’2022 and D&D Outstanding Practice Award in the annual conference of AECT’2019.

Research fields: Digital Learning, Virtual reality in education

Speech title：Learning Design with Emerging Technologies: Theory, Practice, and Research

Prof. Lim Chee Leong, TAYLOR'S UNIVERSITY, MALAYSIA

Associate Professor Dr. Lim Chee Leong is the first notable individual from a private university in Malaysia to be awarded the prestigious National Academic Award in 2014 by the Ministry of Education Malaysia for his innovative teaching methodologies. His immense experience and capability have been most evidenced in his roles of Director of e-Learning Academy (eLA) and Senior Director of Learning Innovation and Development (LID) under Centre For Future Learning, Taylor’s University, where he successfully raise the profile of the name of the University in the area of learning innovation and creativity in teaching, and made Taylor’s University always being at the forefront of transformational teaching and learning journey, as well as emerged as Champions in various Teaching and Learning related awards and competitions.

Research fields: Adoption of educational technology and learning innovation; Collaborative Learning Spaces; Instructional Technology in Education

Speech title：Accelerating Learning Innovations Through Artificial intelligence (AI) Assisted Learning & Extended Reality (XR) Immersion.