Minghao Ji
Papers
2
Total Citations
36
H-Index
2
About
Minghao Ji is a leading researcher in the field of brain-computer interfaces (BCIs), with a focus on hybrid systems that integrate multiple physiological signals for assistive technology and rehabilitation. His most-cited work introduces a groundbreaking hybrid BCI that combines steady-state visual evoked potentials (SSVEP) with electrooculography (EOG), enabling continuous, intuitive control of a wheelchair—a major step toward practical, real-world mobility aids for individuals with severe motor impairments. This paper has already garnered 31 citations, reflecting its immediate impact on the BCI community. Ji also contributed a comprehensive systematic review on noninvasive BCI paradigms for motor and communication assistance, synthesizing key methodologies and highlighting pathways for future clinical translation. His research bridges engineering, neuroscience, and human-computer interaction, advancing the development of accessible, noninvasive systems that restore independence and improve quality of life. Ji’s work is essential reading for students and researchers interested in hybrid BCI design, assistive robotics, and neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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