Ximing Mai
Papers
4
Total Citations
113
H-Index
4
About
Ximing Mai is a leading researcher in the fields of brain-computer interfaces (BCI) and robotic rehabilitation systems. His work focuses on developing intuitive, noninvasive control systems that bridge human intent and machine action. Mai’s major contributions include demonstrating BCI control of a robotic arm for reach and grasp tasks using steady-state visual evoked potentials (SSVEP) with moving stimuli—a significant step toward real-world assistive robotics. He also pioneered a hybrid BCI combining SSVEP and electrooculography (EOG) for continuous wheelchair control, enhancing mobility for individuals with severe motor impairments. Beyond BCI, Mai advanced haptic feedback in robotic surgery by designing a novel series elastic actuator (SEA)-based force feedback master hand controller for endovascular intervention systems. His work has garnered substantial attention, with his top-cited papers accumulating over 100 citations collectively. Notably, his systematic review on noninvasive BCI paradigms for motor and communication assistance (2025) provides a comprehensive roadmap for future rehabilitation technologies. Mai’s research is distinguished by its practical, application-driven approach, directly addressing challenges in unstructured environments and clinical translation.
Research Focus
Key Achievements
Top Papers
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