Mr. Tohid Sharifi | Machine Learning Award | Best Researcher Award
Mr. Tohid Sharifi, Niroo Research Institute, Iran
Mr. Tohid Sharifi is a proficient electrical engineer with an M.Sc. in Electrical Machines and Power Electronics from Amirkabir University of Technology and a B.Sc. in Electrical Power Engineering from Urmia University. His research encompasses notable projects such as a hybrid estimation model for real-time temperature monitoring in electric motors, published in Case Studies in Thermal Engineering, and he is actively working on heat transfer investigations for advanced motor designs. With industrial experience as a CFD Specialist and Cooling System Design Engineer, he has contributed to thermal analysis for a 100kW flywheel energy storage system and optimized heat transfer for a 200kW water-cooled motor using artificial neural networks. His research interests include power electronics, electrical machines, electric vehicles, and metaheuristics, and he holds a patent for a hybrid excited flux switching permanent magnet motor for electric vehicle applications.
Professional Profile:
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Suitability for the Best Researcher Award:
Mr. Tohid Sharifiās extensive research and industrial contributions make him an ideal candidate for the Best Researcher Award. His focus on heat transfer and cooling systems for electric motors, coupled with his work in metaheuristic optimization for motor efficiency, reflects his forward-thinking approach to solving key challenges in power electronics and energy systems. His innovative contributions to electric vehicle motor design and the optimization of thermal systems using advanced algorithms showcase his potential for significant future impact in the field.
š Education:
Mr. Tohid Sharifi holds an M.Sc. in Electrical Machines and Power Electronics from Amirkabir University of Technology (Tehran Polytechnic) and a B.Sc. in Electrical Power Engineering from Urmia University.
š ļø Academic Projects:
His research includes significant projects such as a hybrid estimation model for real-time temperature monitoring in electric motors, published in Case Studies in Thermal Engineering. He has also worked on heat transfer investigations for advanced motor designs, with papers under revision in prominent journals.
š Industrial Experience:
In the industrial sector, Mr. Sharifi has contributed as a CFD Specialist and Cooling System Design Engineer for electric motors. He played a crucial role in thermal analysis for a 100kW flywheel energy storage system at Niroo Research Institute and optimized heat transfer for a 200kW water-cooled motor using artificial neural networks.
š Research Focus:
His research interests lie in power electronics, electrical machines, electric vehicles, metaheuristics, and heat transfer. He is also an inventor, with a patented hybrid excited flux switching permanent magnet motor for electric vehicle applications.
Publication Top Notes:
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“An asymmetrical cascaded single-phase quasi Z-source multilevel inverter with reduced number of switches and lower THD”
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Citations: 9
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Published: 2020
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“Optimal design of a synchronous reluctance motor using biogeography-based optimization”
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Citations: 5
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Published: 2021
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“Optimal Design of a Permanent Magnet Synchronous Motor Using the Cultural Algorithm”
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Citations: 4
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Published: 2021
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“Analytical Modeling and Electrical Equivalent Circuit Extraction for a Flux Switching PM Motor for EVs”
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Citations: 3
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Published: 2022
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“Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm”
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Citations: 2
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Published: 2022
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