Rizvi, Mohammed Mustafa (Dr)

Position: Lecturer, Applied Mathematics and Statistics
Discipline: Engineering
Phone: 03 5327 6484
Email:

m.rizvi@federation.edu.au

Research interests

  • Mathematical modelling
  • Application of multiobjective optimisation
  • Inventory optimisation
  • Optimisation in water management
  • Production scheduling in mining
  • UAV path planning
  • Optimal control

Short biography

Mohammed Mustafa Rizvi is a Lecturer in Applied Mathematics and Statistics at Federation University Australia. His research expertise lies in optimisation, multiobjective optimisation, mathematical modelling, optimal control, and operations research, with a strong focus on developing and implementing numerical techniques and algorithms to address complex, large-scale optimisation problems.

He has a proven track record of bridging academia and industry, leading collaborative projects with key partners, including the Defence Science and Technology Group (DSTG) in Australia. His impactful contributions in this space were recognised with the DST Certificate of Recognition Award in 2019.

He has published extensively in prestigious, high-ranking journals, including the Journal of Optimisation Theory and Applications, SIAM Journal on Optimisation, Applied Mathematical Modelling, and Engineering Optimisation. In addition, he has successfully supervised PhD students in the fields of optimisation and optimal control, further contributing to the development of future researchers in applied mathematics.

Over the years, he has gained valuable teaching experience across several academic institutions, including the University of South Australia, Open Universities Australia, SAIBT (South Australia), University of Chittagong, and Independent University Bangladesh

Qualifications

  • PhD (University of South Australia)
  • MPhil (University of Chittagong)
  • MSc (University of Chittagong)

Teaching areas

  • Undergraduate and Advanced Mathematics
  • Statistics
  • Computer Programming (MATLAB, Python)
  • Operations Research

Extended research profile