PhD, MPhil, MSc, BSc (Hons)
Professor Azizur Rahman, PhD, is an applied statistician and data scientist with expertise in developing and applying novel methodologies, models and technologies. He is the "Data Mining Research Group" leader at Charles Sturt University, Australia. Azizur is an expert in understanding and resolving multi-disciplinary research issues within various fields, including how to model the individual activities that occur within very complex scientific, behavioural, socio-economic and ecological systems. He also founded and runs the 'Data Analytics Lab' at Charles Sturt.
Azizur 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. At Adelaide, he collaborated with Professor John Lynch, NHMRC Australia Fellow and some other key researchers in Australia, the UK and Canada.
He designs projects to understand multi-disciplinary research issues within various fields with the interaction or adaptation of statistics, data science, AI, and ML. Azizur 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 has accrued over $4.03 million in external research funding from the Australian federal and state governments and international agencies. Azizur serves on various editorial boards including the PLOS ONE, International Journal of Microsimulation, International Journal of Community and Social Development, Australasian Journal of Regional Studies, and Sustaining Regions. He has published over 202 scholarly publications, including several books and received various awards, including the SOCM Research Excellence Award 2018, the CSU-RED Achievement Award 2019, the 2023 Charles Sturt Excellence Awards and the ANZRSAI's 2023 Outstanding Service Award.
Azizur's research interests span statistics and data science including Bayesian modelling and data mining. He has a particular interest in big data analytics, AI, ML/DL, predictive algorithms and data security, early childhood health and development, indigenous health in Australia, malnutrition in developing countries, health related behaviours estimates and outcomes, multilevel modelling, small area estimation, water research and environment modelling, computational statistics and business analytics. He has published various high impact peer-reviewed manuscripts on his research areas.
Research Students:
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Graduated:
Potential research students are encouraged to contact Professor Rahman via email on azrahman@csu.edu.au.
Professor Azizur Rahman’s projects have been received more than $4,032,000.00 external grants for research. Several grants information are provided below.
Editorial memberships:
Editor:
Member of Editorial Board:
Guest Editor:
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Reviewer of many journals including:
For more recent activities please visit https://researchoutput.csu.edu.au/en/persons/azrahmancsueduau