Habiba Amr

Papers

Total Citations

H-Index

About

Habiba Amr is a rising researcher at the forefront of neurorehabilitation, whose work centers on the intersection of brain–computer interfaces (BCIs), machine learning, and stroke recovery. Her most cited paper, a 2024 comprehensive review, has already garnered 52 citations, establishing her as a key voice in this rapidly evolving field. In this landmark study, she systematically analyzed how BCI technology, combined with electroencephalogram (EEG) signals and advanced deep learning algorithms, is revolutionizing rehabilitation for patients with motor impairments. By synthesizing recent developments, Amr’s work provides a critical roadmap for translating BCI-driven therapies from laboratory settings into clinical practice, offering new hope for stroke survivors seeking to regain motor function. Her contributions are particularly notable for bridging the gap between computational neuroscience and practical therapeutic applications, demonstrating how machine learning can decode neural activity to drive personalized rehabilitation protocols. As a young investigator, Habiba Amr is already shaping the future of assistive technology, and her growing citation record signals that her insights will continue to influence both researchers and clinicians working to restore mobility and independence to those with neurological injuries.