About
Xiaobo Li is a Professor in the Department of Bio-Medical Engineering at New Jersey Institute of Technology. Holding a Ph.D. in Computer Aided Geometric Design from the University of Birmingham and a B.S. in Automation from Nanjing University of Aeronautics, their research bridges computational methods with neuroimaging and psychiatric disorder analysis.
- Ph.D., University of Birmingham (Computer Aided Geometric Design, 2004)
- B.S., Nanjing University of Aeronautics (Automation, 1999)
Dr. Li’s work focuses on applying machine learning and graph theory to understand brain network abnormalities in conditions like ADHD, schizophrenia, and traumatic brain injury. Their studies analyze structural-functional connectivity, reward processing, and gut-brain axis interactions using fMRI, fNIRS, and diffusion tensor imaging.
Recent publications highlight their development of tools like the GAT-FD MATLAB toolbox for brain network analysis and their exploration of multimodal MRI in schizophrenia diagnosis. They also investigate the neurobiological effects of photobiomodulation and vision therapy interventions.
