Mohammad Hassan Jahanandish

Shiraz University, The University of Texas at Dallas

Papers

Total Citations

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About

Mohammad Hassan Jahanandish is a leading researcher at the intersection of assistive robotics, rehabilitation engineering, and human motion analysis. His work focuses on developing intelligent systems that enhance mobility and safety for aging populations and individuals with physical impairments. A key contribution is his pioneering use of sonomyography—real-time ultrasound imaging of skeletal muscle—to continuously estimate joint moments in the hip, knee, and ankle during complex ambulation tasks. This approach, detailed in his 2020 study (13 citations), offers a noninvasive, high-fidelity alternative for controlling rehabilitation robotics. Jahanandish also advanced fall prevention technology with his 2016 paper on an autoregressive-moving-average hidden Markov model for vision-based fall prediction in walker robots (17 citations). By integrating predictive algorithms with assistive devices, his work directly addresses the critical need for safe, dependable technologies in an aging society. His research is foundational for next-generation prosthetics and exoskeletons, aiming to restore volitional movement and prevent injuries.