Azizur Rahman

PhD, Associate Professor in Mathematics and Statistics/Course Coordinator of Graduate Certificate in Applied Statistics

  • 0 Citations
  • 0 h-Index

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests

  • 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

Personal profile

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

Professional Information

Membership of Editorial Panels:

  • Associate Editor, International Journal of Microsimulation (IJM)
  • Editorial Board Member, World Review of Business Research (WRBR)



  • MTH105 Introductory Mathematics
  • QBM120 Business Data Analysis
  • STA201 Scientific Statistics
  • STA308 Experimental Design and Analysis


  • STA401 Postgraduate Scientific Statistics
  • STA404 Statistical Data Analysis
  • STA427 Advanced Statistical Modelling
  • STA448 Multivariate Statistical Analysis
  • STA501 Scientific Data Analysis
  • STA502 Spatial Statistics
  • STA508 Postgraduate Experimental Design and Analysis

Education/Academic qualification


University of Chittagong


University of Chittagong


Fingerprint Dive into the research topics where Azizur Rahman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

Associated risk factors for acute malnutrition among rural Bangladeshi children: A cross-sectional analysis

Rahman, M. A., Rahman, M. S. & Rahman, A., May 2020, Malnutrition: Prevalence, Risk Factors and Outcomes. Rahman, A. (ed.). 1 ed. NY, USA: Nova Science Publishers, Vol. 1. p. 73-93 21 p. (Nutrition and Diet Research Progress).

Charles Sturt University

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)Researchpeer-review

  • Estimation of child undernutrition at disaggregated administrative tiers of a north-eastern district of Bangladesh: An application of small area estimation method

    Das, S., Kumar, B., Hossain, M. Z., Rahman, S. T. & Rahman, A., 2020, Statistics for Data Science and Policy Analysis. Rahman, A. (ed.). Singapore: Springer

    Charles Sturt University

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  • Routine vaccination disruption in low-income countries: an impact of COVID-19 pandemic

    Hossain, M. M., Abdulla, F., Karimuzzaman, M. & Rahman, A., 17 Aug 2020, (Accepted/In press) In : Asia-Pacific Journal of Public Health. p. 1-3 3 p.

    Charles Sturt University

    Research output: Contribution to journalLetterResearchpeer-review

    Statistics for data science and policy analysis

    Rahman, A., 19 May 2020, Springer Nature. 400 p.

    Charles Sturt University

    Research output: Book/ReportEdited BookResearch

  • An intelligent system based agriculture microsimulation model with bootstrapping validation

    Rahman, A., 2019, p. 93. 1 p.

    Charles Sturt University

    Research output: Contribution to conferenceAbstractResearchpeer-review