Associate Professor Dr Selina Low Yeh Ching

Dr Selina Low

Associate Professor Dr Selina Low Yeh Ching

  • Deputy Dean (Education)
  • Associate Professor
Department of Smart Computing and Cyber Resilience
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SDGs Focus
Quality Education
Decent Work and Economic Growth
Industry, Innovation and Infrastructure
Sustainable Cities and Communities

Biography

Dr Low is an academic and researcher in the field of computational and applied statistics. Her research interests are in the area of count data modelling, statistical methods in data science, Monte Carlo methods and statistics education. Her research work has been published in various indexed journals and presented in both local and international conferences. She also serves as peer reviewer for international journals.

Dr. Low is also a SAS Certified Data Scientist since 2019. She is currently a member of IEEE, Association for Computing Machinery and International Statistical Institute.

Academic & Professional Qualifications

  • PhD, Universiti Malaya, Malaysia (2016)
  • MSc (Statistics), Universiti Malaya, Malaysia (2007)
  • BSc (Statistics), Universiti Malaya, Malaysia (2004)
  • Postgraduate Certificate in Academic Practice, Lancaster University, UK (2020)

Research Interests

  • Count data modelling
  • Statistical methods in data science
  • Monte Carlo methods
  • Statistics education

Notable Publications

  1. Low Y.C., Ong S.H. (2021) Computation of Probabilities of Mixed Poisson–Weibull Distribution. In: Balasubramaniam P., Ratnavelu K., Rajchakit G., Nagamani G. (eds) Mathematical Modelling and Computational Intelligence Techniques. ICMMCIT 2021. Springer Proceedings in Mathematics & Statistics, vol 376. Springer, Singapore. https://doi.org/10.1007/978-981-16-6018-4_7
  2. Low, Y.C., & Ong, S.H. (2021). A Stratified Subsampling Strategy for Count Regression Modelling. Paper presented at COMDATA 2021, Kuala Lumpur, Malaysia, 22-24 November 2021
  3. Rasheed, F., Yau, K.L.A., & Low, Y.C. (2020) Deep reinforcement learning for traffic signal control under disturbances: A case study on Sunway City, Malaysia. Future Generation Computer Systems, 109, 431-445.
  4. Low, Y.C. & Ong, S.H. (2016). Count Distribution for Mixture of Two Exponentials as Renewal Process Duration with Applications. Paper presented at 2nd International Conference for Mathematical Sciences and Statistics, 26 – 28 January 2016, Kuala Lumpur, Malaysia

Achievements & Accolades

  1. A New Family of Regression Models for Correlated Count Data with Cubic Variance Function”, MOE Fundamental Research Grant Scheme (FRGS), Principal Investigator, MYR99,800.00, November 2020 – October 2023