Mina Antoun

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About

Dr. Mina Antoun is a leading researcher at the intersection of neurorehabilitation and artificial intelligence, with a primary focus on brain–computer interfaces (BCIs) and machine learning for stroke recovery. Her most impactful work, a comprehensive 2024 review on BCI-based algorithms for stroke rehabilitation—already garnering 52 citations—has become an essential resource in the field. This seminal paper systematically evaluates how EEG-driven BCIs, combined with deep and machine learning models, can restore motor function in patients with neurological damage, bridging critical gaps between signal processing and clinical application. Dr. Antoun’s contributions are distinguished by their rigorous synthesis of emerging technologies, offering a clear roadmap for translating BCI innovations from laboratory settings to practical rehabilitation therapies. Her work not only highlights the transformative potential of non-invasive neural interfaces but also identifies key algorithmic challenges and future directions, making her a pivotal voice in shaping next-generation neuroprosthetics. With her research rapidly influencing both engineering and clinical communities, Dr. Antoun is establishing herself as a vital contributor to the future of personalized, AI-driven stroke rehabilitation.