Azizur Rahman

Associate Professor Azizur Rahman

Statistician and Data Scientist

Computing, Mathematics and Engineering

Biography

Associate Professor Azizur Rahman is an applied statistician and data scientist with expertise in both developing and applying novel methodologies, models and technologies. Azizur is able to assist in understanding multi-disciplinary research issues within various fields including how to understand the individual activities which occur within very complex behavioural, socio-economic and ecological systems.

He develops "alternative methods in microsimulation modelling technologies" which are very useful tools to socioeconomic policy analysis and evaluation. His 2016 book has contributed significantly to the field of small area estimation and microsimulation modelling. Azizur's research interests encompass issues in simple to multi-facet analyses in various fields ranging from the mathematical sciences to the law and legal studies. He obtained the SOCM Research Excellence Award 2018 and the Charles Sturt RED Achievement Award 2019.

A/Prof Rahman leads “Statistics and Data Mining Research Group” within the Data Science Research Unit at Charles Sturt

Research
  • Bayesian inference, multilevel modelling and big-data analysis
  • Model validation with uncertainty or reliability estimates
  • Socioeconomic, demographic and health research
  • Spatial analysis and small area estimation
  • Statistics, data mining and deep learning
Publications
Full publications list on CRO

Recent publications

  • Sajib, A. M., Diganta, M. T. M., Moniruzzaman, M., Rahman, A., Dabrowski, T., Uddin, M. G., & Olbert, A. I. (2024). Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches. Ecological Informatics, 80, Article 102514. https://doi.org/10.1016/j.ecoinf.2024.102514
  • Uddin, M. G., Rahman, A., Rosa Taghikhah, F., & Olbert, A. I. (2024). Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model. Water Research, 255, 121499. Article 121499. Advance online publication. https://doi.org/10.1016/j.watres.2024.121499
  • Ng, K. Y., Hasan, M. Z., & Rahman, A. (2024). Examining the roles of meteorological variables in COVID-19 spread in Malaysia. Aerobiologia, 1-16. 
    https://doi.org/10.1007/s10453-023-09804-8
  • Rahman, A., Othman, N., Kuddus, M. A., & Hasan, M. Z. (2024). Impact of the COVID-19 pandemic on child malnutrition in Selangor, Malaysia: A pilot study. Journal of Infection and Public Health, 17(5), 833-842. https://doi.org/10.1016/j.jiph.2024.02.019
  • Rahman, A., Kuddus, M. A., Paul, A. K., & Hasan, M. Z. (2024). The impact of triple doses vaccination and other interventions for controlling the outbreak of COVID-19 cases and mortality in Australia: A modelling study. Heliyon, 10(4), 1-12. Article e25945. https://doi.org/10.1016/j.heliyon.2024.e25945