Papers
1
Total Citations
11
H-Index
1
About
Dr. Mengxi Liu is a leading researcher at the frontier of wearable brain-computer interfaces (BCIs), with a primary focus on electroencephalogram (EEG) signal processing and on-device machine learning. Her most impactful work, “On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface” (2024, 11 citations), addresses a critical bottleneck in BCI deployment: the performance degradation of neural network-based EEG decoders across diverse user populations. By pioneering on-device learning strategies, Dr. Liu enables EEGNet models to adapt in real-time to individual neural patterns, dramatically improving the reliability of motor imagery BCIs for applications in rehabilitation and robotics. This contribution is pivotal for transitioning BCIs from controlled lab settings to practical, user-centric wearable systems. Her research not only advances the theoretical understanding of adaptive neural decoding but also holds transformative potential for assistive technologies, empowering individuals with motor impairments. With a growing citation record, Dr. Liu’s work is shaping the next generation of intelligent, personalized neuroprosthetics.
Research Focus
Key Achievements
Top Papers
- 1