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- Computing and Processing
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Amir Abdel Menaem
Also published under:
Affiliation
Electrical Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt
Department of Automated Electrical Systems, Ural Power Engineering Institute, Ural Federal University, Yekaterinburg, Russia
Department of Automated Electrical Systems, Ural Power Engineering Institute, Ural Federal University, Yekaterinburg, Russia
Topic
Load Torque,Acceleration Time,Artificial Neural Network,Artificial Neural Network Model,Control Strategy,Control Techniques,Feed-forward Artificial Neural Network,Induction Motor,Motor Current,Motor Speed,Motor Torque,Neural Network,Reference Speed,Soft-start,Terminal Voltage,Three-phase Motor,Torque Control,Acoustic Noise,Adaptive Neuro-fuzzy Inference System,Alpha Angle,Ant Colony Optimization,Artificial Neural Network Approach,Average Torque,Control Approach,Control Circuit,Copper Loss,Current Compensation,Current Control,Current Control Strategies,Current Sensor,Digital Signal Processing,Electric Vehicles,Electrical Cycle,Electromagnetic Torque,Fast Switching,Fault-tolerant Control,Finite Element Method,Flux Data,Flux Linkage,Healthy Cases,Healthy Conditions,Hidden Layer,Independent Control,Intelligent Control,Internal Defects,Interturn Fault,Loading Conditions,Low Computational Burden,Multi-objective Optimization,Multi-objective Optimization Problem,
Biography
Amir Abdel Menaem received the B.Eng. and M.Sc. degrees in electrical engineering from the Faculty of Engineering, Mansoura University, Mansoura, Egypt, in 2008 and 2014, respectively, and the Ph.D. degree from the Institute of Energy, Ural Federal University (URFU), Yekaterinburg, Russia, in 2021. He is currently an Assistant Professor with the Electrical Engineering Department, Mansoura University. His current research interests include mathematical modeling, computational intelligence, machine learning, and optimization techniques applied to renewable energy integrated power systems.