Prof. Xiaoli Li, Nanyang Technological University, Singapore

IEEE Fellow ；AAIA Fellow

Xiaoli 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 adjunct professor position at Nanyang Technological University (He was holding adjunct position at National University of Singapore for 6 years). He is an IEEE Fellow and Fellow of Asia-Pacific Artificial Intelligence Association (AAIA). Xiaoli is also serving as KPMG-I2R joint lab co-director. He has been a member of Information Technology Standards Committee (ITSC) from ESG Singapore and Infocomm Media Development Authority (IMDA) since 2020. Moreover, he serves as a health innovation expert panel member for the Ministry of Health (MOH), expert panel member for Ministry of Education (MOE), 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.

The Machine Intellection 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, GLOBALFOUNDRIES, 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 KDD Cup (Part of 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.

Xiaoli'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/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-index. 

Prof. Harrison Hao Yang, State University of New York at Oswego, USA

Harrison Hao Yang is a distinguished teaching professor at the State University of New York and a professor in the School of Education at the State University of New York at Oswego, USA. He is also a distinguished adjunct professor at the National Engineering Research Center for E-Learning at Central China Normal University, China. Dr. Yang has published a variety of books and articles, mostly on educational technology. His research interests include distance or flexible education, technology literacy and integration, and e-learning experience management. Dr. Yang is currently the Editor-in-Chief of the Journal of Educational Technology Development and Exchange and the International Journal of Modern Education and Computer Science. He is the recipient of the State University of New York Chancellor's Award for Excellence in Teaching and SUNY Oswego President Award of Teaching Excellence.

Research fields: Assessment and E-folios, Distance/Flexible Education, Information Literacy and Integration, Online Learning Communities and Environments and etc.

Prof. Shuai Liu, School of Educational Science, 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