Hamza Al Kouzbary
Papers
4
Total Citations
27
H-Index
3
About
Hamza Al Kouzbary is a researcher at the forefront of rehabilitation robotics, specializing in the development of intelligent, adaptive lower-limb prostheses. His work directly addresses the critical challenge of restoring natural, efficient gait for individuals with transfemoral amputation, who often face up to 60% higher metabolic costs. Al Kouzbary’s major contributions lie in integrating advanced control systems with novel mechanical designs. He pioneered the use of Nonlinear Autoregressive Networks with Exogenous Inputs (NARX) to generate robust, adaptive walking patterns for prosthetic ankles, and has extended this neural network approach to estimate body segmental orientation, enabling real-time gait assessment. His research also explores innovative mechanical solutions, such as a robotic knee prosthesis optimized with a cycloidal gear and four-bar mechanism using Particle Swarm Algorithms, offering a high-torque alternative to conventional harmonic reducers. With over 27 citations across his key works, Al Kouzbary’s impact is growing. His latest work, analyzing human ambulation as a chaotic time-series, promises to further refine prosthetic control systems by leveraging the inherent complexity of natural gait.
Research Focus
Key Achievements
Top Papers
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