Staff Profile

Biography

Dr Tony Chan is currently an assistant professor and the program leader of the data science and artificial intelligence program of the Hong Kong Metropolitan University. He earned his Master of Philosophy degree in Statistics in 1998 and Doctor of Philosophy degree in Biostatistics in 2014 from The Chinese University of Hong Kong and the City University of Hong Kong, respectively. Previously, he served at the Census and Statistics Department, The Chinese University of Hong Kong, and The Hong Kong Polytechnic University.

Teaching Areas & Research Interests

• Time Series Analysis and Forecasting
• Regression Analysis
• Generalized Linear Mixed Models
• Multilevel Statistical Models

Selected Publications

Journal Articles

• Wang, Z., & Chan, M. T. (2024). A systematic review of Google cardboard used in education. Computers & Education: X Reality, 4, 100046.
• Chan, T. M. (2023). Multilevel multinomial logit regression model with random effects: application to flash EuroBarometer euro survey data. Journal of Statistical Computation and Simulation, 93(1), 58-76.
• Wang, D. D., & Chan, M. T. (2022). Protein-ligand binding affinity prediction based on profiles of intermolecular contacts. Computational and Structural Biotechnology Journal, 20, 1088-1096.
• Huang, X., Lin, Z., Jiao, Y., Chan, M. T., Huang, S., & Wang, L. (2022). Two-Stage segmentation framework based on distance transformation. Sensors, 22(1), 250.
• Huang, X., Lin, Z., Huang, S., Wang, F. L., Chan, M. T.*, & Wang, L. (2022). Contrastive learning–guided multi-meta attention network for breast ultrasound video diagnosis. Frontiers in Oncology, 12, 952457.
• Wang, D. D., Chan, M. T., & Yan, H. (2021). Structure-based protein–ligand interaction fingerprints for binding affinity prediction. Computational and Structural Biotechnology Journal, 19, 6291-6300.
• Chan, M. T., Yu, D., & Yau, K. K. (2015). Multilevel cumulative logistic regression model with random effects: Application to British social attitudes panel survey data. Computational Statistics & Data Analysis, 88, 173-186.

Further Information

Link to Google Scholar page

Modified Date: 04 Jul, 2024
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