BSc (Honours), MSc (Thesis) Chittagong, MPhil Qld, PhD Canberra, GCL THE CSU
Associate Professor Azizur Rahman, PhD, is an applied statistician and data scientist with expertise in both developing and applying novel methodologies, models and technologies. He is the Leader of “Statistics and Data Mining Research Group” within the Data Science Research Unit in the Faculty of Business, Justice and Behavioural Sciences at Charles Sturt. He 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 scientific, behavioural, socio-economic and ecological systems.
Azizur earned his PhD from the National Centre for Social and Economic Modelling (NATSEM) at the University of Canberra in 2011. His doctoral project was supervised by Professor Ann Harding, AO, one of the prominent researchers in Australia, and in that project he developed "alternative methods in microsimulation modelling technologies" which are very useful tools to socioeconomic policy analysis and evaluation. Before joining Charles Sturt as a lecturer in 2012, Azizur was a Research Fellow in Biostatistics and Population Health in the Adelaide School of Population Health and Clinical Practice. At the University of Adelaide he collaborated with Professor John Lynch, NHMRC Australia Fellow and some other key researchers in Australia, UK and Canada.
His 2020 and 2016 books have contributed significantly to the fields of “data science and policy analysis” and “small area estimation and microsimulation modelling” respectively. Azizur’s research interests encompass issues in simple to multi-facet analyses in various fields ranging from the statistical sciences to the law and legal studies. He has more than 100 scholarly publications including a few books. His research is funded by the Australian Federal and State Governments, and he serves on a range of editorial boards including the International Journal of Microsimulation (IJM) and Sustaining Regions. He obtained several awards including the SOCM Research Excellence Award 2018 and the CSU-RED Achievement Award 2019.
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Azizur's research interests span statistics and data science including Bayesian modelling and data mining. He has a particular interest in big data analytics, predictive algorithms and data security, early childhood health and development, indigenous health in Australia, malnutrition in developing countries, interaction of housing and spatial factors to population health outcomes, health related behaviours estimates, multilevel modelling, small area estimation, computational statistics and business analytics. He has published various peer-reviewed manuscripts on his research areas.
As an interuniversity level research team Azizur and his colleagues from UC, ANU, AIHW, NATSEM and Oxford together have received a grant from the Commonwealth Department of Health and Aging (DoHA) to undertake "an evaluation of the nurse practitioners – aged care models of care program" research project in Australia.
Potential research students are encouraged to contact A/Prof Rahman via email on firstname.lastname@example.org.
A/Prof Azizur Rahman and his collaborative teams have been received more than $1,978,000.00 external grants for research. Several grants info are provided below.
Azizur Rahman has published more than 100 research papers which contribute to increase the flow of knowledge into literature and have been cited by many researchers as demonstrated by his Google Scholar citation: https://scholar.google.com.au/citations?user=VxYeDjYAAAAJ&hl=en
Some selected publications are provided below:
A list of publications can be found at https://researchoutput.csu.edu.au/en/persons/azrahmancsueduau/publications/