Azizur Rahman is a Professor in the School of Computing, Mathematics and Engineering and the Leader of 'Data Mining Research Group' 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 210 scholarly publications and received several awards, including the ANZRSAI's 2023 Outstanding Service Award and the Charles Sturt Excellence Awards in 2023 and 2024. He also ranked as one of the world's top 2% researchers by the Stanford University/Elsevier rankings.

• 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