Mohamad Kenan Al-Hares
Papers
2
Total Citations
71
H-Index
2
About
Mohamad Kenan Al-Hares is a leading researcher at the intersection of robotics, artificial intelligence, and clinical biomechanics, with a primary focus on advancing lower limb robotic systems for rehabilitation. His work centers on integrating intelligent algorithms—particularly deep learning models—into gait analysis and prediction, aiming to create more responsive and effective exoskeletons and orthoses for individuals with neurological disorders. Al-Hares’s most impactful contribution is his systematic review of intelligent algorithms in gait analysis and prediction for lower limb robotic systems (2021, 51 citations), which has become a foundational reference for researchers developing AI-driven assistive technologies. Building on this, his study on forecasting gait trajectories in children with neurological disorders (2022, 20 citations) demonstrated that deep learning models can accurately predict pathological gait patterns, offering a critical feedforward control input for powered ankle-foot orthoses and other robotic devices. This work addresses a significant gap in the literature, which had previously focused on healthy gait. Al-Hares’s research not only advances the technical capabilities of robotic rehabilitation but also holds profound implications for improving mobility and quality of life in pediatric populations, marking him as a rising leader in neurorehabilitation engineering.
Research Focus
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Top Papers
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