Speakers
Prof. Yiu-ming Cheung
Hong Kong Baptist University, Hong Kong
IEEE Fellow and IET Fellow
Yiu-ming Cheung is currently Chair Professor (Artificial Intelligence) in the Department of Computer Science, Dean of the Institute for Research and Continuing Education (IRACE), and Associate Director of the Institute of Computational and Theoretical Studies at Hong Kong Baptist University (HKBU). He received his PhD from the Department of Computer Science and Engineering at The Chinese University of Hong Kong. In recognition of his dedication and exceptional achievements, he has been elected a Member of the European Academy of Sciences and Arts (EASA), and a Fellow of IEEE, AAAS, IAPR, IET, and BCS. Besides, he has been elected a Distinguished Lecturer of the IEEE Computational Intelligence Society and named Chair Professor in the Changjiang Scholars Program by the Ministry of Education of the People’s Republic of China.
Professor Cheung’s research interests include machine learning and visual computing, with applications in data science, pattern recognition, multi-objective optimization, and information security. He has published over 300 articles in leading conferences and journals, e.g., TPAMI, TNNLS, TIFS, TIP, TMM, TKDE, TCYB, CVPR, ICML, IJCAI, and AAAI. He is the recipient of: (1) 2023-2024 RGC Senior Research Fellow Award, (2) the President’s Award for Outstanding Performance in Scholarly Work (2023–2024), and (3) the 2023 APNNS Outstanding Achievement Award, among others. Furthermore, he has received several prestigious translational research awards, including: (1) the Gold Medal with Distinction (the highest grade in Gold Medals) and the Swiss Automobile Club Prize, at the 45th International Exhibition of Inventions of Geneva 2017, (2) the Gold Award at the Seventh Hong Kong Innovative Technologies Achievement Award in 2017, (3) the Gold Medal with Congratulations of Jury (the highest grade in Gold Medals) at the 46th International Exhibition of Inventions of Geneva 2018, and (4) the Gold Medal Award at the 15th International Invention Fair in the Middle East, held in Kuwait in February 2025. He is ranked among the World’s Top 2% Most-cited Scientists in Artificial Intelligence and Image Processing (actual ranking 0.28%) by Stanford University.
Prof. Keng L. SIAU
City University of Hong Kong
Professor Siau is the Lee Kong Chian Professor of Information Systems at the School of Computing and Information Systems, Singapore Management University. From June 2021 to June 2024, he was the Head of the Department of Information Systems and Chair Professor of Information Systems at the City University of Hong Kong (CityU). He was also an Affiliated Chair Professor of the School of Data Science and an Affiliated Professor of the CityU Academy of Innovation. Prior to joining CityU, he was Head (“Business Dean” equivalent) of the AACSB accredited Business Program at the Missouri University of Science and Technology from 2012 to 2021. Professor Siau received his Ph.D. in Business Administration with a specialization in Management Information Systems from the University of British Columbia. Professor Siau has more than 350 academic publications. According to Google Scholar, he has a citation count of more than 24,000. His h-index and i10-index, according to Google Scholar, are 77 and 205 respectively. He is also on the Stanford University list of the world’s top 2% most-cited scientists. Professor Siau is an AIS Distinguished Member–Cum Laude. He is a recipient of the prestigious International Federation for Information Processing (IFIP) Outstanding Service Award in 2006, IBM Faculty Awards in 2006 and 2008, IBM Faculty Innovation Award in 2010, AIS Sandra Slaughter Service Award in 2019, AIS Award for Outstanding Contribution to IS Education in 2019, AIS Fellow Award in 2022, and AMCIS Outstanding Leader Award in 2023.
Prof. MAK Man-Wai
Hong Kong Polytechnic University
IEEE Senior Member
Dr. Man-Wai Mak joined the Department of Electronic and Information Engineering (EIE) at The Hong Kong Polytechnic University in 1993 as a Lecturer and is currently a Professor of EIE. Dr. Mak has been the leader of various subject areas, such as deep neural networks and deep learning, human-computer interaction, speech processing and recognition, distributed systems, and cloud computing. Dr. Mak has successfully supervised several Ph.D. students and researchers who have become scientists or postdocs in major research labs and renowned universities. Some examples are Microsoft, Tencent, National University of Singapore, Princeton University, University of Pennsylvania, and St. Jude Children's Research Hospital in Memphis, USA. He has authored more than 200 technical articles and books in speaker recognition, machine learning, bioinformatics, and biomedical engineering, including "Biometric Authentication: A Machine Learning Approach," Prentice-Hall, 2005; "Machine Learning for Protein Subcellular Localization Prediction," De Gruyter, 2015; and "Machine Learning for Speaker Recognition," Cambridge University Press, 2020. Dr. Mak served as a member of the IEEE Machine Learning for Signal Processing Technical Committee in 2005-2007 and a Technical Committee Member, IEEE Computation Intelligence Society, Intelligent Systems Applications in 2008. He has served as an associate editor of IEEE Trans. on Audio, Speech and Language Processing. Dr. Mak is currently an editorial board member of the Journal of Signal Processing Systems and IEEE Biometrics Compendium. He has also served as the Programme Co-Chair of ISCSLP and Area Chair of Interspeech 2014. He is currently the Interim Head of the department. His research interest includes speaker recognition, machine learning, biomedical engineering, and bioinformatics.