James Tin-Yau Kwok, FIEEE
The Hong Kong University of Science and Technology, China
James Tin-Yau Kwok (Fellow, IEEE) received the Ph.D. degree in computer
science from The Hong Kong University of Science and Technology, Hong Kong, in 1996. He is
currently a Professor with the Department of Computer Science and Engineering, The Hong Kong
University of Science and Technology. His current research interests include kernel methods,
machine learning, pattern recognition, and artificial neural networks. He received the IEEE
Outstanding Paper Award in 2004 and the Second Class Award in Natural Sciences from the
Ministry of Education, China, in 2008. He has been the program co-chair of a number of
international conferences. He served as an Associate Editor for IEEE Transactions on Neural
Networks and Learning Systems from 2006 to 2012. He is an Associate Editor of
Neurocomputing.
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Simon K.S. Cheung, FBCS, FIMA, FIET, FHKIE, FHKCS
Hong Kong Metropolitan University, China
Dr. Simon K.S. Cheung obtained his BSc and PhD, both in Computer Science,
from the City University of Hong Kong, and his Master of Public Administration with
Distinction from the University of Hong Kong. He also received executive education from
Oxford's Saïd Business School and Harvard's Kennedy School of Government. A Chartered
Engineer as well as a Chartered Scientist by profession, he was admitted as a Chartered IT
Professional Fellow of the British Computer Society, Fellow of the Institute of Mathematics
and its Applications, Fellow of the Institution of Engineering and Technology, Fellow of the
Hong Kong Institution of Engineers, and Fellow of the Hong Kong Computer Society.
Dr. Cheung is currently the Chief Information Officer of the Hong Kong Metropolitan
University, overseeing the university IT services for teaching, learning, research and
administration. He has been working in the higher education sector (with the Hong Kong
Metropolitan University, the University of Hong Kong, the Hong Kong Baptist University, and
the Chinese University of Hong Kong) for 35 years in various administrative capacities,
mainly in IT and educational technology, while also undertaking academic duties such as
teaching, research, course development and programme accreditation. He has successfully
implemented key projects pertaining to enterprise systems, process reengineering, campus IT
infrastructure, electronic library, blended learning, learning analytics, and advising. He
played a pivotal role in leading digital transformation and AI adoption for the Hong Kong
Metropolitan University, and deploying blended learning for SPACE, the University of Hong
Kong, as well as implementing the Open Textbooks for Hong Kong project which found the
first-ever open access textbook platform in Hong Kong.
Dr. Cheung is active in research, with 1 research monograph, 35 edited books and 200
refereed articles in two distinct areas, namely, innovation and technology in education, and
software and systems engineering. He has delivered 20 keynote speeches for international
conferences. Among other consultancy roles such as programme accreditation for professional
bodies, and consultancy for universities and higher education institutions, he serves in the
advisory board and editorial board for reputable international journals, including the
International Journal of Educational Technology in Higher Education (SSCI Q1), Australasian
Journal of Educational Technology (SSCI Q1) and SN Computer Science (Scopus Q1). Awards in
recognition of his achievements include the Outstanding Research Publication Award from the
Hong Kong Metropolitan University, Outstanding CIO Award from the Hong Kong IT Joint
Council, and Honour for Excellence, CIO Award from the CIO Asia.
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Junliu Zhong, IEEE Member
Guangzhou Maritime University, China
Dr. Junliu Zhong, IEEE Member, is a Computer Science Ph.D., Distinguished
Research Fellow, and Associate Professor at Guangzhou Maritime University, where he serves
as Dean of the IoT Department. Over the past four years, he has led multiple key provincial
research projects and published 13 high-impact papers in top journals such as IEEE TIFS,
Pattern Recognition, Information Sciences, and IPM, including 7 SCI Q1 top tier papers. His
research focuses on artificial intelligence, information security, and multimedia
processing. Dr. Zhong is a core member of a national level teaching innovation team, a
recipient of the First Prize of Guangdong Provincial Teaching Achievement Award, and an
active reviewer for several SCI journals.
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