Xingfeng Li obtained his first degree in automation control, M.S. degree in power system control, and Ph.D. degree in pattern recognition and machine intelligence in 1996, 2001, and 2004, respectively. He then worked as Postdoc Research Fellow from 2004 to 2009 at McGill University, Montreal, QC, Canada, and Paris VI University, Paris, France. Since 2009, he has served as a Research Fellow at the University of Ulster, Coleraine, UK. He is currently working on applying nonlinear system identification theory for studying nonlinear dynamic brain system. He conducts extensive research work using fMRI, diffusion weighted imaging, perfusion weighted imaging, and PET methods to investigate human brain system. He proposes the idea to apply nonlinear system identification method for fMRI effective connectivity study. His research interests include nonlinear system identification, functional medical imaging analysis, numerical analysis, statistical analysis, and optimization algorithms. As the first author, Dr. Li has published dozen of journal papers, including NeuroImage, IEEE Transaction on Medical Imaging, and medical image analysis. He is also a reviewer for several international journals like IEEE TMI.
Biography Updated on 5 June 2013