Haider Raza

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About

Haider Raza is a leading researcher in biomedical engineering, specializing in brain-computer interfaces (BCIs) and neuro-rehabilitation. His work focuses on decoding neural and muscular signals to restore motor function for individuals with neurological impairments. Raza’s most-cited paper, "An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation" (2018, 95 citations), introduces a novel hybrid BCI that integrates electroencephalography (EEG) and electromyography (EMG) signals to control a hand orthosis. This work demonstrates how correlating brain and muscle activity can enhance rehabilitation outcomes, offering a more intuitive and effective approach for stroke survivors and spinal cord injury patients. By bridging neural control with physical assistance, Raza’s research advances closed-loop rehabilitation systems that adapt to individual patient needs. His contributions have been widely recognized, with his work cited over 95 times, underscoring its impact on the BCI and neuro-rehabilitation communities. Raza’s innovative methodologies continue to shape the development of assistive technologies, making him a key figure in translating neural engineering into practical clinical solutions.