Biography
Dr. Ahmed El Sayed, is an Assistant Professor of Mathematics in the School of Engineering, Applied Science, and Technology; at Canadian University Dubai. He holds a Master of Science in Mathematics from the American University of Sharjah and a Doctorate Degree in Mathematics from Utara University in Malaysia. Dr. El Sayed's research focuses on Fuzzy Logic, Numerical Analysis, Linear Algebra, and Fuzzy Regression Analysis. With 16 years of teaching experience, he has published many articles in highly indexed journals. His teaching expertise include Fuzzy Logic, Calculus I, II, and III, Differential Equations, Numerical Analysis, Linear Algebra, Discrete Mathematics, Statistics, and Probability.
Academic Publications
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Alazzam, A., Malkawi, G., Elsayed, A. A., Omari, A., & Badreddine, S. (2026). Optimizing fully fuzzy linear systems using the average uniform algorithm: A fuzzy data modeling approach. IEEE Access, 14, 21659–21673. https://doi.org/10.1109/ACCESS.2026.3660925
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Elsayed, A. A., Malkawi, G., & Kamalov, F. (2026). Fuzzy fractional-order adaptive control for mobility-as-a-service orchestration: A cybernetic approach. IEEE Access, 14, 64459–64475. https://doi.org/10.1109/ACCESS.2026.3687256
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Elsayed, A., Malkawi, G., Wardat, Y., & Kamalov, F. (2026). Beyond automation: A systematic review of AI teaching methodologies and a framework for human–AI synergy in higher education. IEEE Access, 14, 45948-45963. https://doi.org/10.1109/ACCESS.2026.3675937
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Mostafi, S., Elgazzar, K., & El Sayed, A. (2025, May). Traffic collision severity on highway: characterization, modeling, and analysis. In 2025 International Wireless Communications and Mobile Computing (IWCMC) (pp. 1738-1743). IEEE. https://doi.org/10.1109/IWCMC65282.2025.11059577
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Elsayed, A. A., Ahmad, N., & Malkawi, G. (2024). Trapezoidal fully fuzzy Sylvester matrix equation with arbitrary coefficients. Soft Computing, 28(11-12), 6953 - 6967. https://doi.org/10.1007/s00500-023-09612-9
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Arafa, H. M., Ramadan, M. A., & Elsayed, A. A. A. (2024). A Variant of Accelerated Ramadan Group Adomian Decomposition Method for Numerical Solution of Fractional Riccati Differential Equations. Progress in Fractional Differentiation and Applications, 10(4), 663–675. https://doi.org/10.18576/pfda/100410