Philip Yu is a Professor at the Department of Mathematics and Information Technology of the Education University of Hong Kong. He is the Associate Director of the University Research Facility of Data Science and Artificial Intelligence and an Executive Committee Member of the International Association of Statistical Computing. Philip was the Chairperson of the Asian Region Section of the International Association of Statistical Computing, the Vice President of the Hong Kong Statistical Society, a Council Member of the Hong Kong Mathematical Society, and a member of the Technical Committee of Computational Finance and Economics, IEEE Computational Intelligence Society. He is also an Associate Editor of Frontiers in Artificial Intelligence, Journal of Data Science, Statistics, and Visualisation, Journal of Applied Statistics, and Digital Finance.

His research interests are broad; they include analysis of ranking data, data mining and STEM Education, AI and big data analytics, time series analysis, financial data analysis and risk management, and ranked set sampling. He has a substantial volume of work on most of these topics, including more than 140 publications and two Springer monographs on ranking methodology which have been favorably reviewed. Many publications contain novel ideas in the above-mentioned fields and appeared in top-tier journals and conferences such as AAAI, Biometrika, Journal of Business and Economic Statistics, Journal of Statistical Software, Finance Research Letters, Expert Systems with Applications, and IEEE Transactions on Neural Networks and Learning Systems.

Professor Yu has been continuously engaged in performing outstanding teaching and mentoring activities, providing exceptional service to the statistics/data science profession through numerous conferences and committee work, and promoting statistical and AI literacy in Hong Kong through a number of outreach activities. He has been involved in the organizing and program committees at many international conferences. He was a member of the Assessment Working Group of the Chief Executive’s Award for Teaching Excellence (2020/2021). He possesses over three decades of extensive experience in diverse contracted research/consulting projects and professional services for businesses, industries, and public bodies, including banks and insurance companies, stock exchanges, the Hospital Authority, the Department of Health (HKSAR), the Census and Statistics Department (HKSAR), secondary schools, etc.

Courses Taught in 2024-25:

MTH6184 Data Mining in STEM Education (MSc(AI&EdTech) course, 2nd semester)

Honorary Professor, Department of Computer Science, The University of Hong Kong, since 9/2020.