Electroencephalogram (EEG) signals, which capture the electrical activity of neurons in the brain, offer a crucial window for investigating brain function, diagnosing neurological disorders, and advancing brain-computer interface (BCI) technologies. As brain science and artificial intelligence continue to evolve rapidly, the field of EEG signal processing and analysis is presented with both new challenges and opportunities. This session is designed to bring together researchers from around the world to share the latest advancements in EEG signal processing and analysis, discuss future directions, and foster progress in brain science research and BCI development.

Track Committee
• Track Chair
Prof. Gang Wang, Xi' an Jiaotong University
• Technical Committee
Assoc. Prof. Chunsheng Li, Shenyang University of Technology
Assist. Prof. Rihui Li, University of Macau
Assoc. Prof. Fali Li, University of Electronic Science and Technology of China, fali.li@uestc.edu.cn Assoc. Prof. Xin Zhang, Chongqing University
Assoc. Prof. Bo Peng, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science
Dr. Zhian Liu, Air Force Military Medical University

Topics
EEG Signal Preprocessing and Feature Extraction
EEG Signal Analysis and Pattern Recognition
Applications of Artificial Intelligence in EEG Analysis
Applications of EEG Signal Processing and Analysis in Other Fields
EEG Source Imaging
Brain Computer Interface
Neural Engineering
Neuroimaging

Publication