Michael Chau

Academic & Professional Qualification

• Ph.D. (Management Information Systems), The University of Arizona
• B.Sc. (Computer Science (Information Systems)), The University of Hong Kong

Michael Chau is a Professor in Innovation and Information Management in the HKU Business School at the University of Hong Kong. He served as the Warden of Lee Chi Hung Hall (2009-2021) and the Program Director/Coordinator of the BBA (Information Systems) program (2006-2009, 2012-2018). He is also an Honorary Fellow of the HKU-HKJC Centre for Suicide Research and Prevention. He received a Ph.D. degree in Management Information Systems from the University of Arizona and a B.Sc. degree in Computer Science (Information Systems) from the University of Hong Kong. His research interests include business analytics, artificial intelligence, web mining and social media, electronic commerce, fintech, smart health, security informatics, human-computer interaction, and IT in education.

He has published more than 150 articles in premier journals and conferences in information systems, computer science, and information science. He has received multiple international research awards and has been highly ranked in several research productivity studies.

Michael has been active in serving the research community. He is a member of the AIS College of Senior Scholars and the Program Co-chair of PACIS 2024 and ICIS 2013. He has served on the organization committee and program committee of many information systems and computer science conferences, as well as the editorial board of multiple journals. He is a founding co-chair of the Pacific-Asia Workshop on Intelligence and Security Informatics (PAISI 2006-2019).

Teaching

Michael has taught a wide range of courses at HKU at both the undergraduate and postgraduate levels, including database management, computer networking, business analytics and big data, artificial intelligence, project management, spreadsheet modelling, and computer programming.

Research Interest

• Business analytics and big data
• Artificial intelligence
• Web mining and social media
• Electronic commerce
• Fintech
• Smart health
• Security informatics
• Human-computer interaction
• IT in education