Papers
5
Total Citations
51
H-Index
4
About
Nezam Alavi’s research sits at the intersection of rehabilitation robotics and neural recovery, focusing on restoring upper limb function after stroke. His work targets a critical gap: how to make robotic therapy more adaptive, affordable, and effective for everyday clinical use. Alavi pioneered the development of bimanual elbow robotic orthoses, introducing an impairment force-feedback rehabilitation method that allows patients to train both arms simultaneously while the robot adjusts resistance based on real-time force measurements. This approach, detailed in his most-cited paper (17 citations), moves beyond simple repetitive motion toward intelligent, responsive therapy. He also explored closed-loop electrical stimulation to help stroke survivors perform fine movements with their hemiparetic arm (16 citations), combining robotic exoskeletons with functional electrical stimulation in a novel way. Addressing practical barriers, Alavi investigated low-cost pressure cushions as alternatives to expensive load cells for monitoring human-robot interaction (9 citations), aiming to make rehabilitation robots more accessible. His work on force-based bimanual protocols and rehabilitation quantification has laid groundwork for more personalized stroke therapy. With over 50 total citations, Alavi’s contributions are steadily shaping how engineers and clinicians design next-generation robotic tools for motor recovery.
Research Focus
Key Achievements
Top Papers
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- 5Preliminary results for a force feedback bimanual rehabilitation system4 citations · 2016