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Dr Hannah Al Ali

Dr Hannah Al Ali

Dr Hannah Al Ali

Dean, School of Mathematics and Data Science (EAU)

Telephone: +971 4 6050199

Email: hannah.alali@emirates.com

Dr Hannah Al Ali is the Dean of the Mathematics and Data Science School. Dr Al Ali achieved her bachelor’s degree at Brunel University in London and continued to studying whilst working. She has been a lecturer at EAU for several years whilst she completed her PhD with Coventry University, UK. Dr Al Ali’s PhD and research focuses on mathematical modelling of diabetes.

  • PhD in Mathematics, Coventry university, United Kingdom, 2022
  • Mathematics
  • Math for business
  • Differential equations
  • Statistics
  • Machine learning
  • Machine learning
  • Statistics
  • Mathematical modelling
  • Ordinary differential equations
  • Diabetes
  • Threshold quantities
  • Dynamical systems analysis
  1. Al Ali, H., Daneshkhah, A., Boutayeb, A., Malunguza, N.J. and Mukandavire, Z., 2022. Exploring dynamical properties of a Type 1 diabetes model using sensitivity approaches. Mathematics and Computers in Simulation.
  2. Al Ali, H., Daneshkhah, A., Boutayeb, A. and Mukandavire, Z., 2022. Examining Type 1 Diabetes Mathematical Models Using Experimental Data. International Journal of Environmental Research and Public Health, 19(2), p.737.
  3. Nora, M., Abdesslam, B., Wiam, B. and Ali, H.A., 2019. A mathematical model on the effect of growth hormone on glucose homeostasis. Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, 30.
  4. Al Ali, H., Boutayeb, W., Boutayeb, A. and Merabet, N., 2019, April. A mathematical model for type 1 diabetes, on the effect of growth hormone. In 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO) (pp. 1-4). IEEE.
  5. Al Ali, H., Boutayeb, W., Boutayeb, A. and Merabet, N., Diabetes and acute coronary syndrome in four countries of the Gulf: analysis of the Gulf registry data.
  6. AlAli, H., Boutayeb, W., Boutayeb, A. and Merabet, N., On the effect of growth hormone on glucose homeostasis.