Saiful Amri Mazlan
University of Technology Malaysia, Universitas Gadjah Mada, University of Kuala Lumpur
Papers
7
Total Citations
120
H-Index
4
About
Dr. Saiful Amri Mazlan is a leading researcher at the intersection of intelligent materials and advanced robotics, with a primary focus on magnetorheological (MR) materials, soft robotics, and assistive rehabilitation technologies. His major contributions span from pioneering work in autonomous vehicle trajectory tracking—where he developed a spike-detection algorithm for precise path following—to groundbreaking advancements in smart materials for biomedical applications. Dr. Mazlan has been instrumental in developing MR foams and elastomers for soft sensors and actuators, including a novel 4D-printed TPU-based magnetorheological elastomer that simplifies feedstock preparation for adaptive multifunctional materials. His work on hydrogel-based MR plastomers has advanced force-sensing capabilities for robotic systems. With his most cited paper, "A Path Tracking Algorithm Using Future Prediction Control with Spike Detection for an Autonomous Vehicle Robot," garnering 57 citations, Dr. Mazlan’s research demonstrates significant impact. He has also contributed to gait rehabilitation through fuzzy logic control of ankle-foot orthoses using EMG signals, and his recent work on machine learning prediction of magnetostriction in MR foams highlights his commitment to integrating computational methods with materials science. Dr. Mazlan’s research is shaping the future of adaptive robotics and intelligent materials for healthcare and automation.
Research Focus
Key Achievements
Top Papers
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