Amin Mahmoudi
Papers
3
Total Citations
58
H-Index
3
About
Amin Mahmoudi is a leading researcher in advanced motor control and electric machine design, with a focus on precision motion systems and sustainable transport electrification. His work bridges intelligent control theory and practical electromechanical systems. Mahmoudi’s major contributions include the development of adaptive critic-based neuro-fuzzy controllers for robust trajectory tracking of hybrid stepper motors, achieving high precision under uncertainty. He also pioneered the application of brain emotional learning-based intelligent controllers (BELBIC) for speed control, demonstrating biologically inspired solutions for model uncertainty. His most cited work, a 2019 paper on neuro-fuzzy control (28 citations), and a 2018 BELBIC study (27 citations), underscore his impact in intelligent motor control. More recently, Mahmoudi has advanced PM-free axial-flux motor topologies for electric vehicles and wind turbines, targeting high power density and efficiency without rare-earth magnets. His research is critical for cost-effective, sustainable drivetrains. With a growing citation record and innovative contributions to both control and machine design, Mahmoudi is shaping the future of high-performance, environmentally friendly electric propulsion.
Research Focus
Key Achievements
Top Papers
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- 3PM-Free Axial-Flux Motors for Transport Electrification3 citations · 2024