Naji Alibeji

Case Western Reserve University, University of Pittsburgh

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About

Naji Alibeji’s research lies at the intersection of nonlinear control theory and rehabilitation engineering, with a focus on restoring motor function in individuals with neurological disorders. His major contributions center on developing advanced control strategies to overcome fundamental challenges in neuromuscular electrical stimulation (NMES) and functional electrical stimulation (FES). In his highly cited 2017 paper (33 citations), Alibeji introduced a nonlinear control method to compensate for muscle fatigue during NMES—a pervasive problem that limits the practical use of electrical stimulation for restoring functional tasks. He further advanced the field by designing a PID-type robust input delay compensation method for uncertain Euler–Lagrange systems (26 citations), addressing the critical issue of unknown input delays that often plague real-world rehabilitation systems. Alibeji also explored bilateral control architectures for FES and robotics-based telerehabilitation (8 citations), demonstrating his commitment to translating theoretical advances into practical, patient-centered technologies. His work is notable for bridging robust control theory with the unique physiological and mechanical challenges of human motor systems, offering rigorous solutions that improve the reliability and effectiveness of neuroprosthetic and rehabilitation devices.