Azizur Rahman

Professor Azizur Rahman is a leading academic in applied statistics and data science at Charles Sturt University (Australia), where he leads the Data Mining Research Group and directs the Data Analytics Lab. He holds a PhD in Economics and Applied Statistics from the University of Canberra, with postdoctoral experience at the University of Adelaide. His expertise spans statistical methodologies, microsimulation, AI/ML, and data-driven policy analysis. He has attracted over $4.03M in research funding and published over 200 scholarly works.

Education:

• BSc (Honours) in Statistical Science, University of Chittagong (2000)
• MSc (Thesis) in Biostatistics, University of Chittagong (2003)
• PhD in Economics and Applied Statistics, University of Canberra (2010)

Research Focus:

• Big data analytics and AI applications in health, environment, and policy
• Bayesian inference and multilevel modeling
• Spatial microsimulation for socioeconomic analysis
• Water quality modeling and environmental systems
• Public health challenges in developing nations

Key Contributions:

• Developed novel computational methods for microsimulation modeling
• Founder of the Data Analytics Lab at CSU
• Editorial roles in journals like PLOS ONE and International Journal of Microsimulation
• Recipient of 2023 ANZRSAI Outstanding Service Award and Charles Sturt Excellence Awards

Grants & Awards:

• $4.03M+ external research funding secured
• 30+ awards including travel grants, fellowships, and service recognitions

Advising & Mentorship: Supervised 6 PhD/DIT students and co-supervised many more. Active in mentoring early-career researchers through editorial boards and conference organizing roles.

Labs & Collaborations: Leads DaMRG (Data Mining Research Group) and collaborates with global institutions on interdisciplinary projects involving AI/ML, environmental science, and public health.