Mohammad Mahdi Sakhaee

Papers

Total Citations

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About

Mohammad Mahdi Sakhaee is a researcher at the intersection of biomedical engineering, neural signal processing, and assistive technology. His work focuses on decoding brain activity to develop innovative human-machine interfaces, particularly for individuals with motor impairments. His most cited paper, “Design and Manufacture of a Guided Mechanical Arm by EEG Signals” (2021), demonstrates a practical application of electroencephalography (EEG) to control a robotic arm, translating neural commands into mechanical action. This contribution bridges neuroscience and engineering, offering a tangible solution for restoring mobility and independence. While his citation count is currently modest, his research addresses a critical need in neuroprosthetics and brain-computer interfaces (BCIs), with potential for significant future impact as the field advances. Sakhaee’s work reflects a growing trend toward non-invasive, real-time control systems that leverage neural correlates of motor intent, positioning him as an emerging voice in the development of accessible, brain-guided assistive devices.