Dr. Sroor Maged Abdelhai Mohamed Elnady
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Dr. Sroor Maged Abdelhay Mohamed Elnady, an Egyptian academic, specializes in engineering mathematics with applications in electrical power systems, renewable energy, and optimization. Born in July 1993, he earned his B.Sc. (2016), M.Sc. (2021), and Ph.D. (2025) from Cairo University. He is currently serving as an Assistant Professor at Cairo University’s Faculty of Engineering, advancing both teaching and research in the fields of applied mathematics and smart energy networks.
Academic Background
- Ph.D.– Engineering Mathematics, Cairo University (2025)
- M.Sc.– Engineering Mathematics, Cairo University (2021)
- B.Sc.– Electrical Engineering, Cairo University (2016, Distinction with Honors, 5th Rank
Current Position
Assistant Professor, Faculty of Engineering, Cairo University
Teaching and Mentorship
Dr. Elnady has taught undergraduate courses in system modeling, control theory, engineering mathematics, and power system applications since 2018. His teaching philosophy combines strong theoretical foundations with practical applications, preparing students for both academic research and professional engineering practice. He also mentors graduate students, guiding their research in fractional calculus, optimization, and energy systems.
Research Focus
Dr. Elnady’s research integratesfractional calculus, stochastic modeling, and advanced optimizationwithapplications in power engineering, smart grids, and microgrid systems. His work develops new mathematical operators and algorithms that improve forecasting, control, and decision-making in renewable energy networks.
Key Research Areas
- Fractional-order calculus and generalized operators
- Advanced gradient descent and optimization methods
- Photovoltaic (PV) and energy storage modeling
- Smart grids and DC/AC microgrid dynamics
- Stochastic processes and uncertainty modeling
- Robust adaptive estimation and control
Research Contributions
Dr. Elnady has published in leading journals such as Journal of Computational Physics, Chaos, Solitons & Fractals, and Applied Soft Computing. His contributions include:
- Developing extended fractional-order PV and battery models using unified generalized operators.
- Applying adaptive fractional FISTA algorithms for parameter estimation in microgrids.
- Advancing fractional Wiener–Hermite expansions for stochastic energy models.
- Comprehensive surveys on fractional gradient descent methods and fractional derivative chain rules.
These works strengthen the connection between applied mathematics and power systems engineering, offering solutions to challenges in renewable integration, smart mobility, and grid stability.