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Mathematical Approaches in Epidemiology and Public Health
Dr Zeeshan Ali zeeshan. ali @ monash. edu
Lecturer
Expertise Expertise
Mathematical epidemiology Public health Computational methods Education Artificial neural networks Financial statistics
My research expertise is in the mathematical modelling of infectious diseases using deterministic approaches to study transmission dynamics, disease progression and the impact of interventions. My current work examines risk factors such as syringe reuse, population behaviour and awareness campaigns in blood-borne infections, alongside optimal control strategies for prevention and healthcare resource allocation. I also integrate Artificial Neural Networks to strengthen predictive capabilities in disease modelling.
My research also involves the development and application of numerical methods for fractional differential equations to address systems with memory and hereditary effects.
By combining theoretical advances with computational tools, my work aims to contribute to accurate simulations of physical and biological processes. I am keen on interdisciplinary collaborations in public health, biology and applied sciences, especially in projects involving predictive modelling, neural networks, and innovative numerical methods with biomedical and real-world applications.
Combining mathematical modelling, computational methods and datadriven tools to study disease dynamics, evaluate public health interventions and support predictive health research
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