Behzad Saeedi
Papers
2
Total Citations
16
H-Index
2
About
Behzad Saeedi is a leading researcher in rehabilitation robotics, with a focused expertise in the design and control of assistive exoskeletons for upper-limb recovery. His work centers on advancing robotic systems for wrist rehabilitation, addressing critical challenges in both mechanical design and intelligent control. Saeedi’s major contributions include the conceptual development of a novel wrist rehabilitation exoskeleton, systematically designed to enhance maneuverability and accelerate recovery for patients with stroke or spinal cord injuries. He has further pioneered the application of artificial neural networks (ANN) and adaptive Neuro-Fuzzy inference systems (ANFIS) to solve complex inverse kinematics problems in these robots, enabling more precise and adaptive motion control. His most cited paper, “Inverse kinematics analysis of a wrist rehabilitation robot using artificial neural network and adaptive Neuro-Fuzzy inference system” (2024), has already garnered 12 citations, reflecting its immediate impact on the field. With a total of 16 citations across his key works, Saeedi’s research is shaping the next generation of patient-specific rehabilitation technologies, bridging the gap between mechanical engineering and intelligent automation to improve clinical outcomes.
Research Focus
Key Achievements
Top Papers
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