Nadia Naghavi

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About

Nadia Naghavi’s research bridges the frontiers of rehabilitation robotics, bio-inspired systems, and environmental monitoring. Her most cited work, “sEMG-based impedance control for lower-limb rehabilitation robot” (53 citations), introduces a novel control framework that uses surface electromyography signals to adapt robotic assistance in real time—a key contribution toward patient-responsive physical therapy. In “Adaptive Fuzzy Robust Tracking Control Using Human Electromyogram Signals for Elastic Joint Robots,” she tackles the persistent challenge of chattering in sliding-mode control while accommodating joint elasticity, advancing safe human-robot interaction. Demonstrating remarkable interdisciplinary breadth, Naghavi also leads pioneering efforts in aquatic environmental robotics. Her paper “Design and test of wirelessly powered IPMC artificial muscle for aquatic ecosystem health applications” proposes a cost-effective robotic fish for pollution monitoring, powered wirelessly and propelled by ionic polymer-metal composite artificial muscles. This work addresses critical gaps in practical, deployable environmental sensing. Though early in her career, Naghavi’s integration of bio-signal control, soft actuation, and sustainability showcases a visionary approach—merging rehabilitation engineering with ecological stewardship to create intelligent, adaptive systems that serve both human and environmental health.