Our laboratory focuses on the development of intelligent biomedical technologies, particularly in building tools for analyzing neurophysiological signals and medical imaging. We integrate biomedical signals such as electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and electrocardiography (ECG) with artificial intelligence technologies to create innovative solutions for the treatment, monitoring, and prevention of clinical diseases, as well as improving daily quality of life.

The current research projects in our lab span several areas, including the development of precise neuromodulation therapies and the exploration of their neurophysiological mechanisms, systems to enhance driving safety, and techniques for assessing brain function after cardiovascular surgery. In addition to applying traditional machine-learning techniques and state-of-the-art deep-learning methods for classification and prediction, we emphasize model interpretability to establish relevant neurophysiological markers, advancing brain-science understanding and promoting intelligent healthcare.