Azizur Rahman is an associate professor at the School of Computing, Mathematics and Engineering and the 'Data Mining Research Group' leader at Charles Sturt University, Australia. He earned a BSc (Honours) in Statistical Science, an MSc (Thesis) in Biostatistics, and a PhD in Economics and Applied Statistics from the University of Canberra under the supervision of Professor Ann Harding, AO FASSA. He worked as a biostatistical research fellow in the Faculty of Health and Medical Sciences at the University of Adelaide. Professor Rahman is a statistician and data scientist with expertise in developing and applying novel methodologies, models and technologies. He designs projects to understand multi-disciplinary research issues within various fields with the interaction or adaptation of statistics, data science, AI, and ML. Professor Rahman develops data-centric "alternative computational methods in microsimulation modelling technologies", which are handy tools for decision-making processes in government and non-government organizations, precision estimation, policy analysis and evaluation. He founded and runs the 'Data Analytics Lab' at Charles Sturt. Professor Rahman has accrued more than $4.03 million of external research funding and over 202 scholarly publications and received several awards, including the 2023 Charles Sturt Excellence Awards and the ANZRSAI's 2023 Outstanding Service Award.

• Data science and AI
• 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
• Water and environmental research

Membership of Editorial Panels:

• Editor, Sustaining Regions: The Newsletter of ANZRSAI
• Guest Editor, Journal of Environmental Management
• Guest Editor, International Journal of Environmental Research and Public Health
• Academic Editor, PLOS ONE
• Editorial Board Member, Australasian Journal of Regional Studies
• Editorial Board Member, World Review of Business Research
• Editorial Board Member, International Journal of Community and Social Development
• Associate Editor, International Review of Business Research Papers
• Associate Editor, International Journal of Microsimulation

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