Ali Mohebbi
Papers
2
Total Citations
15
H-Index
2
About
Ali Mohebbi is a researcher at the forefront of Brain-Computer Interface (BCI) technology, with a focused expertise in developing assistive systems for individuals with severe motor disabilities. His primary research centers on robust, non-invasive BCI control for wheelchair applications, specifically leveraging code-modulated Visual Evoked Potentials (c-VEPs). Mohebbi’s major contributions include pioneering a minimalistic BCI wheelchair control system that uses pseudorandom codes—such as Gold codes—to generate visual stimuli, enabling reliable and real-time device navigation. His 2015 pilot study, which introduced this novel approach, has garnered 11 citations, establishing a foundational method in the field. Expanding on this, his 2016 comparative study systematically evaluated different pseudorandom sequences (m-code, Gold-code, and Barker-code) to optimize system performance, achieving 4 citations for its critical analysis. Through this work, Mohebbi has advanced the practicality of c-VEP-based BCIs, moving them from theoretical constructs toward tangible assistive technologies. His research not only demonstrates high-impact, real-world applications but also provides a clear roadmap for future development in non-invasive neural control, making him a notable figure in the BCI community.
Research Focus
Key Achievements
Top Papers
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- 2