IEEE Fellow, Head of the Department of Computing
Qing Li is a Chair Professor and Head of the Department of Computing, the Hong Kong Polytechnic University. He received his B.Eng. from Hunan University (Changsha), and M.Sc. and Ph.D. degrees from the University of Southern California (Los Angeles), all in computer science. His research interests include multi-modal data management, conceptual data modeling, social media, Web services, and e-learning systems. He has authored/co-authored over 500 publications in these areas, with over 28100 total citations according to Google Scholars. He is actively involved in the research community and has served as an associate editor of a number of major technical journals including IEEE Transactions on Artificial Intelligence (TAI), IEEE Transactions on Cognitive and Developmental Systems (TCDS), IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Internet Technology (TOIT), Data Science and Engineering (DSE), and World Wide Web (WWW), in addition to being a Conference and Program Chair/Co-Chair of numerous major international conferences. He also sits/sat on the Steering Committees of DASFAA, ACM RecSys, IEEE U-MEDIA, ER, and ICWL. Prof. Li is a Fellow of IEEE.
Editor-in-Chief, IEEE Transactions on Learning Technologies (TLT)
Dr. Minjuan Wang is Professor and Program Head of Learning Design and Technology (LDT) in the School of Journalism and Media Studies at San Diego State University, Editor-in-Chief of the IEEE Transactions on Learning Technologies (TLT), and a newly appointed associate editor for Nature-Humanities and Social Sciences Communications.
Dr. Wang teaches Methods of Inquiry, Designing and Developing Learning for the Global Audience, and a seminar on Emerging Technologies in Education. Her research specialties are multidisciplinary, focusing on learning across the Metaverse, Cross-Reality (XR) and Immersive Learning, AI in education, and the sociocultural aspects of learning design and the use of technology.
She has been collaborating with scholars worldwide on research and development projects. She is a high-impact author, an internationally recognized scholar and has keynoted more than 40 international conferences. In addition to serving as the EiC for IEEE-TLT, she co-chairs the Education Society’s newly established Technical Committee on Immersive Learning (TC-ILE) and co-organizes several IEEE’s flagship conferences including TALE and Intelligent Environments.
Dr. Jui-Long Hung is a Professor in the Department of Educational Technology at Boise State University. His research has been focused on applications of educational data and text mining and learning analytics in fully online and blended learning environments and obtained seven invention patents in data analytics. He is also a research fellow at the following research centers: Center for Advanced Analytics and Business Intelligence at Texas Tech University, USA, Data Mining Lab at University of Central Florida, USA, and National Engineering Laboratory for Educational Big Data at Central China Normal University, China.
Dr. Hung received his Ed.D. in Instructional and Educational Technology with a minor in Information System at Texas Tech University. He is in the editorial board of the Interdisciplinary Journal of Information Discovery and Delivery and Cogent Education.
Dr Bill Chi Ho YEUNG received a BSc, an MPhil, and a PhD degree in Physics from the Hong Kong University of Science and Technology (HKUST). He then worked as a postdoctoral research fellow in University of Fribourg in Switzerland and Aston University in the United Kingdom, before joining the Education University of Hong Kong (EdUHK) in 2013. He is currently an Associate Professor and an Associate Head of the Department of Science and Environmental Studies, and the Acting Associate Dean of the Faculty of Liberal Arts and Social Sciences at EdUHK.
He devotes himself in the development of STEM education in Hong Kong, as he is currently the program leader of the program of Master of Arts (STEM Education), as well as two professional development programs on STEM education offered for in-service primary and secondary school teachers. He is also one of the project leaders of the school-based support program funded under the Quality Education Fund Thematic Network – Tertiary (QTN-T) of the Education Bureau (EDB) in Hong Kong, to support over 86 primary, secondary and special schools on their development of STEM education since 2017. Besides STEM education, his research interests also include statistical physics, spin and disordered systems, transportation networks, optimization and routing, recommendation systems, complex and social networks, explainable artificial intelligence (AI), and the application of AI in education.