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
  • School of Computing and Artificial Intelligence
Faculty of Engineering and Technology
SDGs Focus

Biography

Assoc Prof Dr Low is an academic and researcher specializing in computational and applied statistics. Her research focuses on statistical data modelling, Monte Carlo techniques, applied artificial intelligence and statistics education. She has published her work in reputable indexed journals and actively disseminates her research work at national and international conferences. In recognition of her expertise, she also serves as Editorial Review Board member and peer reviewers for leading international journals. Dr Low maintains strong professional engagement as a member of IEEE and International Statistical Institute (ISI).

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

  • Computational Statistics
  • Applied Artificial Intelligence
  • Statistical modelling and Inference
  • STEM Education

Teaching Areas

  • Statistics for Data Analytics
  • Mathematics for Computing
  • Engineering Statistics and Probability
  • Forecasting Analytics

Courses Taught

  • Statistics for Data Analytics
  • Engineering Statistics and Probability
  • Forecasting Analytics
  • Statistical Methods for Data Science

Notable Publications

  1. Low, Y.-C., Phang, Y.N., Khoo, W.-C., Ong, S.H. (2025) Strict arcsine regression for longitudinal count data: A marginal modelling approach. 2025 8th International Symposium on Big Data and Applied Statistics (ISBDAS), Guangzhou, China, 28 February 2025, pp. 272-275. (SDG03)
  2. Low, Y.C. (2024) Interplay between Practices and Guidelines on Generative Artificial Intelligence in Higher Education: A Review. 2024 International Conference on Higher Education Learning and Teaching, 3-4 October 2024, Miri, Sarawak. (SDG04)
  3. Lau, Y.M., Khoo, W.C., Low. Y.-C. (2024) Impact of Climate Factors on Hand, Foot, and Mouth Disease in Malaysia: A Generalised Linear Models Approach. FAST-UTHM Global Nexus Conference 2024 - The 9th SCIEMATHIC & 5th International Conference on Biodiversity (ICB), 3-4 October 2024. (SDG03)
  4. Riady, S.J., Kong, S.Z.Y., Low, Y.C., Wong, R.T.K. (2024) Design and Development of Lab-at-Home Apparatus for Hybrid-Flexible Learning of Automatic Control Systems Engineering. 2024 6th International Conference on Electrical Engineering and Control Technologies, 20-22 Dec 2024, Shenzhen, China. (SDG04)
  5. X Lu, M Li, L Yan, Azanna A.K., E.J. Khoo, Y.C. Low, E.X. Tan, P. Boursier, S.N. Saw. (2024) Neonatal Mortality and Length of Stay Prediction with Machine Learning Models. Biomedical Engineering Society (BMES) 2024 Annual Meeting, October 23-26 2024, Baltimore, U.S.A. (SDG03)
  6. Low, Y.C., Phang, Y.N., Khoo, W.C., Ong, S.H. (2024) Parameter estimation for strict arcsine distribution. Communications in Statistics – Simulation and Computation, 1-10.  (SDG03)
  7. Low, Y.C., Ong, S.H. (2023) Stratified Subsampling for Regression Analysis of Big Count Response Data. AIP Conference Proceedings, 2756(1). 
  8. Low, Y.C., Ong, S.H. (2023) Modelling of Loan Non-payments with Count Distributions Arising from Non-Exponential Inter-Arrival Times. Journal of Risk and Financial Management, 16(3), 150.  (SDG08)
  9. Chua, H.N., Liao, A.W.Q., Low, Y.C., Lee, A.S.H., Ismail, M.A. (2022) Challenges of Mining Twitter Data for Analyzing Service Performance: A Case Study of Transportation Service in Malaysia. In: Abramowicz, W., Auer, S., Strozyna, M. (eds) Business Information Systems Workshops. BIS 2021. Lecture Notes in Business Information Processing, vol 444. Springer, Cham.  (SDG11)
  10. 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. 

Achievements & Accolades

  1. National Outstanding Educator Award (Finalist), Private Education Excellence Awards (2024)
  2. ºìÐÓÊÓƵ University Student Appreciation of Teaching Award (2018 – 2019, 2020-2021, 2023-2024)
  3. Third Prize, Teaching & Learning Poster Competition: ‘Out of the Dark & Into the Light’ organized by Academic Enhancement Division, ºìÐÓÊÓƵ University between 11th October to 14th October 2022. 

Professional Associations

  1. IEEE, Member
  2. International Statistical Institute (ISI), Member