Golshah Naghdy
Papers
13
Total Citations
193
H-Index
6
About
Golshah Naghdy is a prominent researcher specializing in robot-assisted rehabilitation, adaptive control systems, and brain-computer interface (BCI) technologies, with a particular focus on post-stroke motor recovery. Her work has made significant contributions to the field of neurorehabilitation by integrating robotics, virtual reality, and intelligent control to restore fine hand motion in stroke survivors — a critical yet often underserved area of recovery. Naghdy's most influential contributions center on combining adaptive assist-as-needed control with immersive virtual reality environments to enhance upper-limb rehabilitation outcomes, with her 2017 case study earning 56 citations and becoming a cornerstone reference in the field. Her research demonstrates that neuroplasticity — the brain's capacity to rewire itself — can be meaningfully harnessed through highly repetitive, robot-delivered training protocols. More recently, she has pioneered the use of EEG-based brain-computer interfaces to guide patient-specific rehabilitation programs, enabling movement intention signals to direct robotic assistance in real time. This approach represents a compelling frontier in personalized stroke care. With her work spanning adaptive robotics, reinforcement learning neural networks, and cortical potential analysis, Naghdy's research has collectively attracted over 180 citations, establishing her as a leading voice in intelligent rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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- 9Multiprocessing control of robotic systems5 citations · 2003
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