Dean, Faculty of Mathematics and Data Science
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Prof. Hannah Al Ali
Prof. Dr. Zindoga Mukandavire
Prof. Dr. Kaitano Dube
Dr. Ahlam Mohammed Alzoubi
Dr. Nidhi Chaturvedi
Dr. Zara Canbary
Dr. Evangelia Pantelaki
Dr. Wasim Ahmad
Dr. Sevda Ahmadian
Dr. Crystal Ioannou
Dr. Annamalai Chockalingam
Ronak J Lad
Elif Ranclaud
Dr. Muneer Jahwash
Dr. Petr Svoboda
Dr. Bhavana Rajeev
Dr. Baha Mohsen
Dr. Georgina Farouqa
Prof. Dr. Hicham Machmouchi
Omar Chafic
Dr. Elham Tolouei
Dr. Anju Anna Jacob
Dr. Walid Abou Hweij
Eng. Ajit Yesodharan
Eng. Manuel Abong
Eng. Shirley Fernandes
Mohamed Zouhir
Dr. Afaq Altaf
Dr. Ehsaneh Essen Etemadi
Prof. Alireza Daneshkhah
Dr. Mostafa Kamil
Dr. Muner Mustafa Abou Hasan
Dr. Thomas Mgonja
Dr. Blessy Trencia Lincy
Dr. Deepudev Shahadevan
Dr. Mohammad Abu Zaytoon
Dr. Rfaat Soliby
Dr. Zainab Rasheed
Dr. Rukshanda Kamran
Mawada Nasser
Riham Arab
Dr. Mahmoud Alkhouli
Prof. Dr. Daoud Hilal
Dean, Faculty of Mathematics and Data Science
Prof. Hannah Al Ali is a Professor of Applied Mathematics and Dean of the School of Mathematics and Data Science. Prof. 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. Prof. 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). Prof. 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
Abou Hasan, M.M., AL-Mekhlafi, S.M., Rihan, F.A., Al-Ali, H.A.Modeling Hybrid Crossover Dynamics of Immuno-Chemotherapy and Gene Therapy: A NumericalApproach (2025) Mathematical Methods in the Applied Sciences.
ViewSahadevan, M. Salahudin, H. A. Ali and C. Mahesh, "Data-Driven Predictive Analytics for Multi-Flight Departure Interdependencies in UAE Airspace," 2024 7th International Conference on Signal Processing and Information Security (ICSPIS), Dubai, United Arab Emirates, 2024, pp. 1-5.
ViewDeepudev Sahadevan, Hannah Al Ali, Mujtaba Khan, AI-Based Prescriptive Analytics for Predictive Maintenance: A Kaplan–Meier and Machine Learning Approach. In Proceedings of Eighth International Conference on Information System Design and Intelligent Applications. Springer Nature Singapore, 2024, pp. 169-181.
ViewKent, P., Abolfathi, S., Al Ali, H., Sedighi, T., Chatrabgoun, O., Daneshkhah, A.Resilient Coastal Protection Infrastructures: Probabilistic Sensitivity Analysis of Wave Overtopping Using Gaussian Process Surrogate Models (2024) Sustainability (Switzerland), 16 (20).
ViewSAHADEVAN 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.
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).
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.
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.
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.
Al Ali H, Mathematical and data-driven modelling of glucose homeostasis system to understand diabetes pathways, PhD Thesis, Coventry University, 2022.
ViewAl 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.
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.
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.
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.
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.
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
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)
Diabetes and Cardiovascular Disease (D&CVD) 2018 Germany – Mathematical modelling of the glucose homeostasis system (H.Al Ali, W.Boutayeb, A.Boutayeb, N.Merabet)
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)
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)
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).
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)
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)
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.
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).
Edited Books/Proceedings
H. Al Ali and Z. Mukandavire Proceedings of the 4th International Aviation Management Conference, IAMC-2022, Emirates Aviation University, Dubai, UAE, 21 – 22 November 2022.
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