Syed Omer Gilani
National University of Sciences and Technology, Abu Dhabi University
Papers
12
Total Citations
268
H-Index
7
About
Syed Omer Gilani is a prominent biomedical and rehabilitation engineer whose research bridges cutting-edge signal processing, robotics, and clinical neuroscience. His work centers on three interconnected domains: electromyography (EMG)-based prosthetic control, stroke rehabilitation technologies, and intelligent robotic systems. Gilani has made particularly influential contributions to understanding and improving myoelectric interfaces for prosthetic hands, most notably through his widely cited work on stacked sparse autoencoders for multi-day EMG classification (65 citations), which advanced the robustness of pattern recognition-based prosthetic control. His comprehensive narrative review on stroke rehabilitation (92 citations) has become a key reference for clinicians and engineers alike, synthesizing prevalence data, risk factors, and state-of-the-art therapeutic interventions. More recently, his assessment of advanced stroke recovery technologies — encompassing robot-assisted therapy, virtual reality, and mirror therapy (31 citations) — reflects his commitment to translating emerging technologies into clinical practice. Beyond rehabilitation, Gilani has contributed to industrial robotics, motor control, and human-robot interaction, demonstrating a broad engineering versatility. With over 250 cumulative citations, his interdisciplinary portfolio positions him as a valuable voice in the growing field of assistive and rehabilitative technology.
Research Focus
Key Achievements
Top Papers
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- 5An Approach to Measure Functional Parameters for Ball-Screw Drives10 citations · 2020
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- 7Comparative Analysis of Classifiers for EMG Signals8 citations · 2019
- 8Human tracking by a mobile robot using 3D features7 citations · 2013
- 9Comparison of Nonlinear Controllers for Speed Control of DC Motor6 citations · 2018
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