Dr Man Fai Leung
Areas of interest
- Artificial Intelligence and Machine Learning
- Large Language Models and Generative AI
- Computational Intelligence and Optimisation
- Multi-view Learning and Graph Learning
- Financial Engineering and Portfolio Optimisation
- Intelligent Transportation Systems and Electric Vehicles
- Computer Vision and Biomedical Data Analytics
Research projects
Dr Man-Fai Leung's research focuses on artificial intelligence, machine learning, computational intelligence and optimisation, with an emphasis on developing intelligent computational methods for complex real-world problems.
His research includes multi-objective optimisation, neurodynamic optimisation, evolutionary computation, multi-view learning, graph learning and non-negative matrix factorisation. His earlier work focused on developing optimisation algorithms for financial engineering, particularly portfolio selection and risk management.
His recent research has expanded into large language models, generative artificial intelligence, intelligent transportation systems, electric vehicle charging, computer vision and biomedical data analytics. His work addresses challenges in high-dimensional data analysis, graph-based representation learning, intelligent decision-making and optimisation.
Background
Dr Man-Fai Leung is a Lecturer in Computer Science at the 糖心Vlog. Before joining 糖心Vlog, he held academic appointments at Anglia Ruskin University and Hong Kong Metropolitan University. He obtained his PhD in Computer Science from City University of Hong Kong. He has served as PI and Co-I on several funded research聽projects covering high-dimensional data analysis, neurodynamic optimisation, portfolio management, pedestrian trajectory prediction, and AI-supported sustainability education.Academic qualifications
- PhD in Computer Science, City University of Hong Kong, 2019
Professional bodies/affiliations
- Senior Member, IEEE
Websites/blogs
- https://scholar.google.com/citations?user=auIXUW8AAAAJ