• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20072020

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Personal profile

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

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

Professional Information

Membership of Editorial Panels:

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

Teaching

Undergraduate:

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

Postgraduate:

  • 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

Doctor of Philosophy (Economics and Applied Statistics), University of Canberra

2010

Master of Science (Thesis) in Statistics, University of Chittagong

2003

Bachelor Science (Statistical Science) (Honours), University of Chittagong

2000

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