Dr. Moustafa Magdi Ismail Mohamed , King Fahd University of Petroleum and Minerals , Saudi Arabia
Dr. Moustafa Magdi Ismail Mohamed ๐ is an accomplished Assistant Professor of Electrical Engineering โก at Minia University, Egypt, he brings a rich background in teaching, research, and academic leadership. Passionate about sustainable energy ๐ฑ, smart grids ๐ก, and electric vehicles ๐๐, Dr. Moustafa has made significant strides in these fields. His contributions include guiding graduate projects, publishing scholarly articles ๐, and serving as a top reviewer for IEEE journals ๐
. Dedicated to innovation and education, he actively participates in curriculum design and lab supervision, all while promoting quality assurance in engineering education ๐ ๏ธ๐จโ๐ซ.
Publication Profile
Education & Experienceย
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๐ Assistant Professor, Minia University, Egypt (Aug 2021 โ Present)
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Teaching & curriculum design for Electrical Engineering
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Supervision of graduate projects, labs, and quality systems
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๐ Assistant Professor, Higher Institute of Engineering and Technology โ New Minya (Oct 2021 โ Jan 2022)
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๐จโ๐ซ Assistant Lecturer, Minia University (Since Oct 2011)
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๐ Academic Qualifications: PhD in Electrical Engineering (details not provided here, assumed complete)
Suitability summary
Dr. Moustafa Magdi Ismail Mohamedโs work aligns seamlessly with the goals of the Transportation Research Award, having made transformative contributions to electric transportation technologies. As an Assistant Professor of Electrical Engineering at Minia University, Egypt, he has pioneered research in Permanent Magnet Synchronous Motor (PMSM) control, battery management systems, predictive EV drive control, and AI-based optimization techniquesโall key elements that enhance the efficiency, reliability, and intelligence of transportation systems. ๐๐๐
Professional Developmentย
Dr. Moustafa continually invests in his professional growth ๐. With a strong foundation in renewable energy systems โ๏ธ and electric mobility โ๏ธ, he keeps pace with emerging technologies through ongoing research and academic engagement. He actively contributes to scholarly dialogue by publishing in prestigious journals and reviewing for top IEEE Transactions titles ๐ง ๐. He also attends conferences, workshops, and faculty development programs focused on e-learning ๐ป and energy sustainability ๐. As an academic supervisor for graduate programs, he nurtures the next generation of engineers while remaining deeply engaged in his own development and that of the educational systems around him ๐๐.
Research Focus
Dr. Moustafaโs research centers on sustainable and smart energy solutions โก๐ฑ. His focus spans renewable energy integration ๐, net-zero energy buildings ๐๏ธ, electric vehicle (EV) charging networks ๐๐, and battery management systems ๐. He explores the use of control systems, power electronics, and machine learning ๐ค to enhance grid stability and efficiency. His projects often address national and global challenges in clean energy and energy policy ๐๐. With a commitment to environmental impact and technological innovation, he contributes both theoretical insight and practical solutions to advance green engineering and intelligent energy infrastructures ๐ง ๐ก.
Awards and Honorsย
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Recognized as a Top Reviewer in multiple IEEE Transactions journals
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๐ฅ Multiple research publications cited on Google Scholar and ResearchGate
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๐๏ธ Academic excellence acknowledged in faculty committees and university boards
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๐ Active contributor to international research communities and engineering networks
Publication Top Notes
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Adaptive Speed Control of PMSM Drive System Based on a New Sliding-Mode Reaching Law
IEEE Transactions on Power Electronics, Vol. 35, No. 11, 2020 โ Citations: 329
โค Developed a robust sliding-mode control law for PMSM drives.
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๐งฌ Parameter Optimization of Adaptive Flux-Weakening Strategy for PMSM Drives Using Particle Swarm Algorithm
IEEE Transactions on Power Electronics, Vol. 34, No. 12, 2019 โ Citations: 93
โค Enhanced PMSM efficiency using swarm intelligence-based tuning.
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๐ Torque Ripple Reduction Strategy for Surface-Mounted PMSMs in Flux-Weakening Region Using Genetic Algorithm
IEEE Transactions on Industry Applications, 2021 โ Citations: 25
โค Optimized torque performance using GA-based control refinement.
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โก Fast Terminal Reaching Law-Based Composite Speed Control for PMSM Drives
IEEE Access, 2022 โ Citations: 23
โค Introduced a fast-reacting composite controller for high-speed applications.
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๐ Adaptive Linear Predictive Model for Improved PMSM Control Across Speed Regions
IEEE Transactions on Power Electronics, 2022 โ Citations: 21
โค Delivered a flexible predictive control model for dynamic conditions.
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๐ Low-Complexity Model Predictive Current Control for Three-Level Inverter-Fed Linear Induction Machines
IEEE Transactions on Industrial Electronics, 2022 โ Citations: 20
โค Proposed a simplified and efficient control method for LIMs.
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๐ Optimal Residential Microgrid Planning Using Demand Response and ABC Algorithm
IEEE Access, Vol. 10, 2022 โ Citations: 14
โค Integrated smart grid optimization with artificial bee colony technique.
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๐ Optimal EV and DG Integration into CIGREโs MV Benchmark Model
IEEE Access, Vol. 10, 2022
โค Evaluated EV and DG coordination strategies in modern power systems.
Conclusion
Dr. Moustafa Magdi Ismail Mohamed’s research makes a direct and valuable impact on the transportation sector, offering real-world solutions for electric mobility and smart transport systems. His blend of academic excellence, applied innovation, and visionary thinking exemplifies the spirit of the Transportation Research Award. Recognizing him with this award would honor a career dedicated to transforming how we power, control, and advance transportation in the era of sustainability. ๐๐๐