Prof. M. A. El-Shorbagy, Prince Sattam Bin Abdulaziz University, Saudi Arabia
Prof. Mohammed Abd El-Rahman El-Shorbagy Hassan is a distinguished academic specializing in engineering mathematics and optimization. Born in Egypt on March 4, 1982, he currently serves as a Professor in the Department of Mathematics at the College of Science and Humanities Studies, Prince Sattam Bin Abdulaziz University, Saudi Arabia. With a career spanning over a decade in higher education and applied research, Prof. El-Shorbagy has contributed significantly to the fields of numerical optimization, artificial intelligence, and multiobjective programming. He is widely published and recognized for his scholarly books and high-impact journal articles. His work integrates mathematical rigor with real-world engineering applications. In addition to teaching and mentoring, he actively participates in international conferences and collaborative research projects. Known for his hybrid approaches combining swarm intelligence with classical methods, Prof. El-Shorbagy stands as a prominent figure in optimization and computational engineering.
Publication Profile:
Google Scholar
✅ Strengths for the Award:
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Extensive Research Output:
Prof. El-Shorbagy has a substantial publication record that includes books, high-impact journal articles, and international conference proceedings. His research appears in prestigious outlets such as Scientific Reports, Renewable Energy, and Materials, with multiple papers exceeding 100 citations.
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Strong Interdisciplinary Focus:
His work bridges mathematics, artificial intelligence, and engineering, showcasing versatility. He effectively combines theoretical frameworks (e.g., optimization theory) with practical applications in power systems, materials science, and fluid dynamics.
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Innovative Methodologies:
Known for hybridizing Particle Swarm Optimization, Genetic Algorithms, and Trust Region methods, he has demonstrated an innovative approach to solving complex, real-world optimization problems.
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Global Academic Impact:
His presence in international conferences across Egypt, France, and Saudi Arabia highlights his global engagement. His work on swarm intelligence and nanofluid modeling reflects both theoretical significance and technological relevance.
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Authorship of Academic Books:
Author of three technical books with Lambert Academic Publishing, which extend his research to a broader academic audience, enhancing educational and professional value.
⚠️ Areas for Improvement:
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Greater Industry Collaboration:
While his academic output is exceptional, engaging in more industry-linked projects (e.g., smart grids, AI in civil infrastructure) could boost the applied relevance of his work.
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Editorial and Review Roles:
Taking on editorial positions in leading journals or acting as a regular peer reviewer could enhance his visibility and influence in the academic publishing landscape.
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Funding and Grants:
Participation in or leadership of internationally funded research programs (such as Horizon Europe or NSF collaborations) would strengthen his research infrastructure and international profile.
🎓 Education:
Prof. El-Shorbagy earned his Ph.D. in Engineering Mathematics from the Department of Basic Engineering Science, Faculty of Engineering, Menoufia University, Egypt, in July 2013. His doctoral thesis, “A Study of Some Numerical Optimization Methods to Solve Multiobjective Mathematical Programming Problems”, focused on advanced optimization algorithms. Prior to this, he completed his M.Sc. in February 2010 at the same institution, where he presented a thesis titled “Hybrid Particle Swarm Optimization Algorithm for Multiobjective Optimization”. Both degrees reflect his specialization and depth in engineering mathematics with emphasis on numerical methods and artificial intelligence. Throughout his academic formation, he was mentored by prominent researchers in the fields of computational mathematics and optimization. His educational background has laid a solid foundation for his subsequent contributions to academia, allowing him to merge theoretical principles with cutting-edge applications in engineering and data-driven modeling.
🧑🏫 Experience:
Prof. El-Shorbagy has amassed over 15 years of academic and research experience. He currently holds the position of Professor in the Department of Mathematics, College of Science and Humanities Studies, at Prince Sattam Bin Abdulaziz University in Saudi Arabia. His career began in Egypt, where he contributed to both teaching and research at Menoufia University. Over the years, he has developed and delivered undergraduate and postgraduate courses in mathematics, optimization techniques, numerical methods, and computational intelligence. In parallel, he has maintained an active research agenda, collaborating with global institutions and publishing extensively in top-tier journals. He is well-versed in supervising theses and projects related to AI-based optimization methods and engineering simulations. Prof. El-Shorbagy is also a frequent speaker at international conferences and has been part of organizing committees, reviewer boards, and technical panels—proving his leadership in academic and scientific communities.
🔬 Research Focus:
Prof. El-Shorbagy’s research revolves around optimization theory and its practical application to engineering and mathematical models. His primary focus is on developing and enhancing numerical methods for solving multiobjective optimization problems using artificial intelligence. Key techniques in his portfolio include Particle Swarm Optimization (PSO), Genetic Algorithms (GA), Trust-Region Methods, and hybrid models that integrate local search strategies. Recently, he has extended his expertise to smart materials, nanofluids, energy optimization, and AI-driven modeling in civil and mechanical engineering systems. His interdisciplinary approach bridges theory and practice, using computational models to solve complex real-world problems such as wind turbine placement, reactive power compensation, and fluid dynamics. Prof. El-Shorbagy’s research is not only high in theoretical impact but also has broad industrial and environmental relevance, making him a valuable contributor to applied sciences and engineering optimization domains.
📰 Publications Top Notes:
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🧬 Integrating PSO with GA for Solving Nonlinear Optimization Problems, JCAM, 2011
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🐝 Local Search-Based Hybrid PSO for Multiobjective Optimization, Swarm & Evolutionary Computation, 2012
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💧 Darcy Ternary-Hybrid Nanofluid Flow with Induction Effects, Micromachines, 2022
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⚗️ Green Synthesis of ZnO–CuO Nanoparticles and Cytotoxicity, Scientific Reports, 2021
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🧱 Glass Fiber-Reinforced Concrete: Mechanical and Microstructure Analysis, Materials, 2022
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🌬️ Optimization of Wind Turbines Siting Using GA-Based Local Search, Renewable Energy, 2018
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🔥 Hybrid Nanofluid Flow with Hall Current and Chemical Reaction, Alexandria Eng. Journal, 2022
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🌴 Coconut Fiber Reinforced Concrete: State-of-the-Art Review, Materials, 2022
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⚡ MHD Stagnation Point Flow with Joule Heating and Convective Effects, Case Studies in Thermal Eng., 2021
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♻️ Concrete with Waste Glass and Recycled Aggregate Substitution, Materials, 2022
🧾 Conclusion:
Prof. Mohammed Abd El-Rahman El-Shorbagy Hassan is a highly suitable candidate for the Best Researcher Award. His consistent and high-quality contributions to engineering mathematics and optimization, impactful publication record, and innovative research approaches mark him as a leading scholar in his domain. By expanding his engagement with industry and international grant opportunities, he could further elevate his already outstanding academic profile. He exemplifies the blend of research excellence, innovation, and practical relevance that such an award seeks to recognize.