Marizan Mubin
Papers
1
Total Citations
2
H-Index
1
About
Marizan Mubin is a leading researcher in advanced motor control systems, with a primary focus on the integration of artificial intelligence into power electronics and electric drives. Their most notable contribution is a comprehensive review on the implementation of deep reinforcement learning for permanent magnet synchronous motors (PMSMs), a critical technology for high-efficiency applications in electric vehicles and industrial automation. This work, published in 2025, has already garnered 2 citations, signaling its early impact in bridging the gap between machine learning and classical motor control strategies. Mubin’s research addresses key challenges in real-time optimization and adaptive control, offering novel frameworks that enhance motor performance under dynamic operating conditions. By synthesizing deep reinforcement learning algorithms with PMSM control, they have opened new pathways for energy-efficient and autonomous drive systems. Their work is particularly valuable for students and engineers seeking to understand the intersection of AI and electromechanical systems, providing both theoretical insights and practical implementation guidelines. Mubin’s contributions are poised to influence future developments in smart motor control, making them a key figure to watch in this rapidly evolving field.
Research Focus
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Top Papers
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