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)
Count data modelling
Statistical methods in data science
Monte Carlo methods
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
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
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.
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
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