Mohammad Ghassemi

North Carolina State University, University of North Carolina at Chapel Hill

Papers

Total Citations

H-Index

About

Mohammad Ghassemi’s research sits at the intersection of neural engineering and neurorehabilitation, with a primary focus on developing brain-machine interfaces (BMIs) and assistive technologies for individuals with neurological injury. His most cited work, “Hemicraniectomy in Traumatic Brain Injury: A Noninvasive Platform to Investigate High Gamma Activity for Brain Machine Interfaces” (2019, 23 citations), introduced a novel, noninvasive platform using hemicraniectomy patients to study high gamma neural signals—a key frequency band for decoding motor intent—advancing the design of less invasive BMI systems. This work bridges fundamental neuroscience and practical device development. Ghassemi also explores restoring hand function after stroke and spinal cord injury, as seen in his 2022 review on technology-assisted rehabilitation. His contributions are notable for their translational potential, aiming to turn neural signals into real-world control for external devices like computer cursors or robotic limbs. With a career still early in its trajectory, his work is already shaping how we understand and harness brain activity for clinical applications, offering hope for more accessible, effective neuroprosthetics.