Prof Kelvin Leong | University of Chester

Professor of Financial Technology and Data Analytics, PGR Director

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).

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.

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.

Read More for a complete list including most recent publications.

Gul, R., Ellahi, N., Leong, K., & Malik, Q. A. (2021). The complementarities of digitalisation and productivity: redefining boundaries for financial sector. Technology Analysis & Strategic Management, 1-13.

Leong K., Sung A., Cunningham S., John H., and Wall., T. (2020) Chapter 11. Technologies to Support Work-Based Learners, The Work-Based Learning Student Handbook (3rd Edition), pp. 225-245, Macmillan International Higher Education.

Leong K., Sung A., Teissier C. (2020) Financial Technology for Sustainable Development. In: Leal Filho W., Azul A., Brandli L., Özuyar P., Wall T. (eds) Partnerships for the Goals. Encyclopedia of the UN Sustainable Development Goals. Springer, Cham.

Sung A., Leong K., Cunningham S. (2020) Emerging Technologies in Education for Sustainable Development. In: Leal Filho W., Azul A., Brandli L., Özuyar P., Wall T. (eds) Partnerships for the Goals. Encyclopedia of the UN Sustainable Development Goals. Springer, Cham.

Sung, A., Leong, K., Sironi, P., O’Reilly, T., Tsang, C., and Alison McMillian, A. (2019) An exploratory study of the FinTech (Financial Technology) education and retraining in UK, Journal of Work Applied Management, 11(2), pp. 187-198.

Leong, K., Sung, A., Williams., T., Andoniou, C., and Sun, F. (2019) The Importance of colour on the communication of financial data in management, Journal of Work Applied Management, 11(1), pp. 92-100.

Leong, K., and Sung, A. (2018). FinTech (Financial Technology): What is it and how to use technologies to create business value in FinTech way? International Journal of Innovation, Management and Technology, Vol 9 (2).

Academic Integrity and Debt Literacy of Finance Students: A Cross-national.

Study. 21st Annual International Conference of Enterprise and competitive Environment, March 2018, Mendel University in Brno, Czech Republic.

Andrzej Cwynar, Wiktor Cwynar, Przemysław Szuba, Kelvin Leong, Anna Sung, Anna Ostrowska-Dankiewicz. (2018). Academic Integrity and Debt Literacy of Finance Students: A Cross-national Study. 21st Annual International Conference of Enterprise and competitive Environment, March 2018, Mendel University in Brno, Czech Republic.

Alison J. McMillan, Norman Swindells, Edward Archer, Alistair McIlhagger, Anna Sung, Kelvin Leong & Rhys Jones (2017) A review of composite product data interoperability and product life-cycle management challenges in the composites industry, Advanced Manufacturing: Polymer & Composites Science, 3:4, 130-147.

Sung, A, and Leong, K. (2017). Fintech in Europe and its challenges, International Accountant, 94, pp12-13.

Leong, K., & Sung, A. (2015). A review of spatio-temporal pattern analysis approaches on crime analysis. International E-journal of Criminal Sciences, (9).

Leong, K., & Chan, S. C. (2013). A content analysis of web-based crime mapping in the world's top 100 highest GDP cities. Crime Prevention & Community Safety, 15(1), 1-22.

Leong, K., & Chan, S. C. (2012). A study of predictors and the extent of web-based crime mapping adoption by a police agency. Security Journal.

Chan, S., & Leong, K. (2010, October). An application of Cyclic Signature (CS) clustering for spatial-temporal pattern analysis to support public safety work. In Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on (pp. 2716-2723). IEEE.

Leong, K., Li, J., Chan, S. C. F., & Ng, V. T. (2009). An Application of the Dynamic Pattern Analysis Framework to the Analysis of Spatial-Temporal Crime Relationships. Journal of Universal Computer Science, 15(9), 1852-1870.

Leong, K., Chan, S., Ng, V., & Shiu, S. (2008). Introduction of STEM: Space-Time-Event Model for crime pattern analysis. Asian Journal of Information Technology, Medwell Journals, 7(12), 516-523.

Leong, K., Li, J., Chan, S., & Ng, V. (2008, April). Dynamic Pattern Analysis Framework for cooperative crime prevention. In Computer Supported Cooperative Work in Design, 2008. CSCWD 2008. 12th International Conference on (pp. 1053-1058). IEEE.

Leong, K., So, J. Y., Ng, V., Li, M., & Chee, T. T. (2008, July). XT algorithm for business data exchange. In Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on (pp. 1666-1671). IEEE.