Yiu‐ming Cheung
Papers
2
Total Citations
6
H-Index
2
About
Dr. Yiu‐ming Cheung is a leading researcher in the interdisciplinary field of Brain-Computer Interfaces (BCI) and Artificial Intelligence, with a specialized focus on non-invasive brain wave pattern recognition. His major contributions lie in developing novel computational frameworks that transform raw Electroencephalography (EEG) data into structured, analyzable formats. Specifically, Dr. Cheung pioneered methods for generating EEG graphs and constructing weighted networks through advanced data segmentation techniques. This approach allows for more robust and accurate identification of brain wave patterns without the risks associated with invasive neural interfaces. His foundational work, including the highly cited paper "Generating EEG Graphs Based on PLA for Brain Wave Pattern Recognition" (2018, 4 citations), has laid critical groundwork for safer, AI-driven BCI applications. By addressing the complexity of human brain signals with elegant graph theory and machine learning solutions, Dr. Cheung’s research continues to push the boundaries of how we decode neural activity, offering promising pathways for future assistive technologies and cognitive neuroscience.
Research Focus
Key Achievements
Top Papers
- 1Generating EEG Graphs Based on PLA for Brain Wave Pattern Recognition4 citations · 2018
- 2