Professor Kelvin Leong
Professor
Biography
Professor Kelvin Leong has published peer-reviewed journal papers, encyclopaedia entries, book chapters and conference papers on different fields including Accounting, Criminology, Computer Sciences, Education, Engineering and Management. He had also been invited to serve as guest expert reviewer for several reputable journals, including International Journal of Information Technology and Decision Making, IEEE Transactions on Knowledge and Data Engineering, International Journal of Human-Computer Interaction, Journal of Small Business and Enterprise Development, Journal of Work-Applied Management and Higher Education, Skills and Work-Based Learning, etc. Kelvin received Emerald Publishing’s outstanding reviewer award 2020 for his contribution to the Journal of Work-Applied Management. Beyond Chester, Kelvin was the Chair of the External Evaluation Committee (EEC) for the evaluation Committee for the MSc in Financial Technology at Neapolis University Paphos in Cyprus (June 2019), Publicity Co-Chair of the 21st IEEE / ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel / Distributed Computing (SNPD 2020) in Australia, External Examiner for MSc in Financial Technology at Edinburgh Napier University in Scotland, UK (2019). Since 2019, he is serving as the External Examiner for the BA (International Business) jointly offered by University of Wales Trinity Saint David, UK and Alfred Nobel University in Dnipro, Ukraine. Kelvin has solid international commercial experience. Before joining the academia, he worked as a Business Analyst under the Honeywell group. He has a weekly column at the Hong Kong Commercial Daily (HKCD) on Accounting and Finance topics. The paper had a circulation of around 300,000 per day. He is a Fellow Chartered Accountant in the U.K. (ICAEW) and a Certified Public Accountant in Hong Kong (HKICPA).
Teaching and Supervision
Professor Kelvin Leong teaches a diverse range of subjects spanning from level 4 to level 8. With a focus on cutting-edge disciplines such as Financial Technology (FinTech), Data Analytics, Quantitative Methods, Finance, Management Accounting, and Research Project Management, Professor Leong keen to offer students a rich and multidimensional learning experience.
Research and Knowledge Exchange
Kelvin has diverse research interests spanning several fields, including AI applications, data analytics, microlearning, financial education and financial technology. He has published peer-reviewed journal papers, encyclopaedia entries, book chapters and conference papers on different fields including Accounting, Banking, Business, Criminology, Computer Sciences, Data Analytics, Education, Engineering, Finance and Management. Currently, Kelvin's research focuses on exploring the applications of Large Language Models (LLMs). He investigates the use of LLMs in AI-powered recommendation systems and delves into the intricate relationship between LLMs and decision making. His work contributes to advancing understanding and utilization of LLMs in practical contexts.