Submission in progress. This will take a few minutes.

BBA-in-Aviation-Management.jpg

Dr. Hannah Al Ali

Dr Hannah Al Ali
Dean, Faculty of Mathematics and Data Science 

Telephone: +971 4 6050199

Email: hannah.alali@emirates.com

Dr Hannah Al Ali is an Associate Professor of Applied Mathematics and Dean of the Faculty of Mathematics and Data Science. Dr Al Ali achieved her bachelor’s degree at Brunel University London, UK and continued to study whilst working. She has been a lecturer at EAU for several years whilst studying for her PhD with Coventry University, UK. Dr Al Ali’s research focuses on mathematical modelling of diabetes and using mathematical and data science approaches to solve problems in the aviation industry. As part of Academic Citizenship, she is a member of the board for Dubai English Speaking School and College (DESSC). Dr Al Ali was selected to be a trustee on this board as a result of her passion and contribution to education in the UAE.

  • PhD in Mathematics, Coventry university, United Kingdom, 2022
  • Bachelor in Mathematics (Upper Class Honours), Brunel University London,United Kingdom, 2016

  • Mathematics
  • Math for business
  • Differential equations
  • Statistics
  • Machine learning
  • Machine learning
  • Statistics
  • Mathematical modelling
  • Ordinary differential equations
  • Threshold quantities
  • Dynamical systems analysis

Publications

  1. SAHADEVAN NEELAKANDAN DE, Al Ali H. Enhancing Trajectory-Based Operations for UAVs through Hexagonal Grid Indexing: A Step towards 4D Integration of UTM and ATM. International Journal of Aviation, Aeronautics, and Aerospace.10(2):5, 2023.
  2. Sahadevan, D., Al Ali, H., Notman, D., & Mukandavire, Z. Optimising Airport Ground Resource Allocation for Multiple Aircraft Using Machine Learning-Based Arrival Time Prediction. Aerospace, 10(6), 509, (2023).
  3. Al Moosawi A H A M A A, Al Hammadi S F M H, Simon B T L S , Al Ali H, Aviation Sentimental Analysis and Multiclass Classification using Natural Language Processing Techniques, In: Proceedings of the 4th International Aviation Management Conference (Eds. H. Al Ali and Z. Mukandavire), IAMC-2022, Emirates Aviation University, Dubai, UAE, 21 – 22 November 2022, pp.220- 227, 2022.
  4. Sahadevan D, Al Ali H, and Mukandavire Z, Airports Ground Operation Resource Optimisation Based on Arrival Time Prediction using Machine Learning, In: Proceedings of the 4th International Aviation Management Conference (Eds. H. Al Ali and Z. Mukandavire), IAMC-2022, Emirates Aviation University, Dubai, UAE, 21 – 22 November 2022, pp. 261-271, 2022.
  5. Simon S. BT, Al Ali H, Majid AA, Alhammadi OA, Aljassmy AM, Mukandavire Z. Analysis of Flight Delay Data Using Different Machine Learning Algorithms. In 2022 New Trends in Civil Aviation (NTCA) October 26, 57-62, 2022.
  6. Al Ali H, Mathematical and data-driven modelling of glucose homeostasis system to understand diabetes pathways, PhD Thesis, Coventry University, 2022, Link
  7. Al Ali H, Daneshkhah A, Boutayeb A, Malunguza NJ, Mukandavire Z, Exploring dynamical properties of a Type 1 diabetes model using sensitivity approaches, Mathematics and Computers in Simulation, Vol. 201, 324-342, 2022.
  8. Al Ali H., Daneshkhah A., Boutayeb A., Mukandavire Z. Examining Type 1 Diabetes Mathematical Models Using Experimental Data. International Journal of Environmental Research and Public Health. 19(2), 737, 2022.
  9. Boutayeb W., Badaoui M., Al Ali H., Boutayeb A., Lamlili M. Use of Data Mining in the prediction of risk factors of Type 2 diabetes mellitus in Gulf countries, Mathematical Modeling and Computing, 8(4), 638–645, 2021.
  10.   Al Ali H., Boutayeb W., Boutayeb A. and Merabet N. A mathematical model on the effect of growth hormone on glucose homeostasis. African Journal of Research in Computer Science and Applied Mathematic (ARIMA) Journal. (30), 31-42, 2019.
  11.   Al Ali H., Boutayeb W., Boutayeb A. and Merabet N. A mathematical model for type 1 diabetes, on the effect of growth hormone. In 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO), 1-4, 2019.
  12.   Al Ali H., Boutayeb W., Boutayeb A. and Merabet N. A mathematical model on the effect of growth hormone on glucose homeostasis. Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées (ARIMA), (30) 31-42, 2019.
Conference Presentations
  1. Emirates Diabetes & Endocrine Congress (EDEC) 2018 Dubai – Mathematical modelling of the beta-cell mass, insulin, glucose and receptors with effect of genetic predisposition to diabetes (H. Al Ali, N Merabet)
  2. Diabetes and Cardiovascular Disease (D&CVD) 2018 Germany – Mathematical modelling of the glucose homeostasis system (H.Al Ali, W.Boutayeb, A.Boutayeb, N.Merabet)
  3. Diabetes and Cardiovascular Disease (D&CVD) 2018 Germany - Diabetes and Acute coronary syndrome in four countries of the Gulf: Analysis of the Gulf registry data (H.Al Ali, W.Boutayeb, A.Boutayeb, N.Merabet)
  4. The 8th International Conference on Modelling, Simulation and Applied Optimization – University of Bahrain (17-15 April 2019) - A mathematical model for type 1 diabetes, on the effect of growth hormone (H.Al Ali, W.Boutayeb, A.Boutayeb, N.Merabet)
  5. Second edition of The International Conference on Mathematics & Data Science (ICMDS2) 2021 - Khouribga, Morocco. Comparative study of Decision trees, Neural networks and Bayesian networks applied on Gulf Coast Database (W.Boutayeb, B.Mohammed, H.Al Ali, A.Boutayeb).
  6. The 4th International Aviation Management Conference 2022 – Emirates Aviation University (21-22 November 2022). Airports Ground Operation Resource Optimisation Based on Arrival Time Prediction using Machine Learning (D.Sahadevan, H.Al Ali, Z.Mukandavire)
  7. The 4th International Aviation Management Conference 2022 – Emirates Aviation University (21-22 November 2022). Aviation Sentimental Analysis and Multiclassification using Natural Language Processing Techniques (D.Sahadevan, H.Al Ali, Z.Mukandavire)
  8. Project HEATWAVE: Heat Emergency Avoidance Technologies Working to Adapt to Vulnerabilities Equitably (July 2024). ( Anna Bershteyn, Shannon Yee, Kelly Wanser, Hannah Al Ali, Alexander Azan, Alireza Daneshkhah, Subrota Halder, Basit Khan, Jean-Francois Lamarque, Francesco Paparella, Oliver M. Pauluis, Ingrida Platais, Sulani Nyimbili, Katrina Wyman). The Forum at Columbia University - Hosted by the Columbia Climate School New York.
  9. In New Trends in Civil Aviation (NTCA), IEEE (2024). Exploratory Data Analysis and Prediction of Passenger Satisfaction with Airline services. (Salah-Ud-Din, Maham, Blessy Trencia Lincy SS, and Hannah Al Ali).