Aamna Al Shehhi

Khalifa University of Science and Technology

Papers

Total Citations

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About

Aamna Al Shehhi is a pioneering researcher at the intersection of neuroengineering and assistive robotics, with a primary focus on cognitive engagement and human-robot interaction. Her most cited work, "Mapping Cognitive Engagement: EEG and Graph Theory Analysis of Brain Region Involvement in Supernumerary Robotic Finger Utilization" (2024), represents a significant contribution to understanding how the brain adapts to supernumerary robotic limbs (SRLs). In this study, Al Shehhi employed advanced EEG and graph theory analysis to map neural activity patterns when stroke survivors use supernumerary robotic fingers (SRFs), demonstrating how these devices can enhance upper-limb functionality. Her research addresses the critical global challenge of rising stroke incidence by providing empirical evidence for the neural mechanisms underlying SRL-assisted rehabilitation. With 2 citations in its first year, this work is gaining traction as a foundational study in assistive neurotechnology. Al Shehhi’s interdisciplinary approach—bridging neuroscience, robotics, and clinical rehabilitation—positions her as an emerging leader in developing evidence-based solutions for motor recovery, offering hope for improved quality of life in stroke survivors worldwide.