Wahab Aminiazar

Islamic Azad University, Science and Research Branch

Papers

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About

Wahab Aminiazar is a leading figure in the field of rehabilitation robotics, with a focused expertise in intelligent control systems for lower-limb assistive devices. His most influential work, "Optimized intelligent control of a 2-degree of freedom robot for rehabilitation of lower limbs using neural network and genetic algorithm" (2013, 14 citations), addresses the critical challenge of making robotic therapy more adaptive and efficient. Aminiazar pioneered the integration of neural networks with genetic algorithms to optimize the control of a two-degree-of-freedom robot, enabling it to personalize rehabilitation exercises for patients recovering from lower-limb impairments. This approach directly tackles the high costs and labor-intensive nature of traditional physiotherapy, offering a pathway to more accessible, automated care. By combining soft computing techniques with mechanical design, his research has laid foundational groundwork for intelligent rehabilitation systems that can learn and adapt to individual patient needs. His contributions are particularly significant in the context of an aging global population and the rising demand for non-drug therapeutic interventions, positioning him as a key innovator in the intersection of robotics, control engineering, and medical rehabilitation.