Biography

Dr Kelvin Leong is a Christian. He was born and bred in Hong Kong. Kelvin holds a PhD in Computer Science from The Hong Kong Polytechnic University. His research interests include spatial-temporal data mining, behavioral data analytics, GIS, Big Data and FinTech. He has published peer-reviewed journal papers and conference papers on different fields of accounting, criminology, computer sciences and engineering. He is a member of The Institute of Electrical and Electronics Engineers and member of The Institution of Engineering and Technology.

His another profession is an accountant and he is qualified in several countries, including Chartered Accountant in the U.K. (ICAEW), Certified Public Accountant in Hong Kong (HKICPA) and Certified Management Accountant in Australia (CMA, Aust). Kelvin has solid commercial experience. Before joining the academia, he worked as a Business Analyst and Lead of North Asia Finance team of MK Electric under the Honeywell group. He has a weekly column on Hong Kong Commercial Daily (HKCD) about accounting and finance topics. The paper had a circulation of around 300,000 per day. On top of this, since March 2016, he started to serve the Canadian Center of Science and Education as an Editorial Board member for the International Journal of Business and Management.

Kelvin is a fellow of Higher Education Academy. Before joining Glyndwr University in 2013, he was a lecturer in Accounting and Finance at The Hong Kong Polytechnic University (PolyU) from 2007 to 2013. He joined Glyndwr University in 2013 as a Senior Lecturer in Accounting and Finance. In 2016, he was appointed as Principal Lecturer and Professional Lead in Finance. He has strong connections with scholars and business professionals in different countries, such as U.K., South Korea, China, Hong Kong and Australia. He has worked with partnership office to deliver the Glyndwr university’s first international bi-lingual programme in Hong Kong. As the academic link for the programme, he supports the programme to get local accreditation and to meet university’s quality assurance requirements. Other than above, he was elected as Fellow of Royal Anthropological Institute of Great Britain and Ireland.

Area of Interest:

Business Management and Accounting

100%

Finance

62%

Data Mining

90%

Data Analysis

75%

Innovation

55%

Research Publications in Numbers

Books
0

Chapters
2

Articles
12

Abstracts
0

Selected Publications

Chan, S. and K. Leong, 2016. The Challenge of Evaluating the Effects of Web-Based Crime Mapping on Cooperative Policing Intervention. Forensic Res. Criminology Int. J., .
Leong, K. and A. Sung, 2015. A review of spatio-temporal pattern analysis approaches on crime analysis. Int. E J. Criminal Sci., .
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LEONG, K., & A. Sung, 2015. The challenge of evaluating the effects of web-based crime mapping on cooperative policing intervention. Int. J.Criminal Sci., 9: 1-33.
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Leong, K. and S.C. Chan, 2013. A content analysis of web-based crime mapping in the world`s top 100 highest GDP cities. Crime Prev. Community Saf., 15: 1-22.
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LEONG, K. & S. Chan, 2013. A content analysis of web-based crime mapping in the world’s top 100 highest GDP cities. Int. J., 15: 1-22.
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LEONG, K., & S. Chan, 2012. A study of predictors and the extent of web-based crime mapping adoption by a police agency. Secur. J., 27: 421-421.
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Kelvin Leong, Stephen Chan 2012. STEM: A Novel Approach for Spatiotemporal Sequence Mining Asian J. Inform. Technol., 11: 94-99.
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LEONG, K., Li, Junco, S. Chan & V. Ng, 2009. An application of the dynamic pattern analysis framework to the analysis of spatial-temporal crime relationships. J. Universal Comput. Sci., 15: 1852-1870.
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Leong, K., S. Shiu, S. Chan and V. Ng, 2008. Introduction of STEM: Space-time-event model for crime pattern analysis. Asia J. Inform. Technol., 7: 516-523.
CrossRef | Direct Link |