Education   Month, 2013 – Month, 2015 University of Shanghai for Science and Technology Post Doc in Optical Engineering Medical image processing for diffusion tensor imaging   Month, 2008 – Month, 2012 Fudan University Doctor and Major in Biomedical Engineering Fiber tracking  of diffusion tensor imaging   Month, 2004 – Month, 2007 Fudan University Master and Major in Biomedical Engineering The processing of point clouds in Image Guided Neuro System   Month, 1994 – Month, 1999 Shandong First Medical University Bachelor and Major in Radiology   Work Experience    Oct, 2016 – now             College of Medical Imaging, Shanghai University of Medicine and Health Science, Shanghai China                                          Professor, Vice president of medical imaging college Mar, 2015 – Sep, 2016           College of Medical Imaging, Shanghai University of Medicine and Health Science, Shanghai China Month, 2007 – Month, 2015   Department of Medical Imaging, Shanghai University of Medicine and Health Science, Shanghai China Associate Professor (2014-now), Lecturer (2008-2013)                                                 Teaching and Researching     Publications   Xufeng Yao, TonggangYu, Songlin Zhuang*,et al. Effect of Increasing Diffusion Gradient Direction Number on Diffusion Tensor Imaging Fiber Tracking in Human Brain, Korean journal of radiology, 16(2), 2015. Xia Tian, Ma Jun shan, Xuelong Zhang, Jinghai Cheng, WeiPeng, Xufeng Yao. A New Approach for Extracting Phase Effect Based on In-Line X-ray Phase Imaging, Optical Review, 21(3), 286-291, 2014。 Xufeng Yao, Zhijian Song, et al. Diffusion tensor imaging fiber tracking with reliable tracking orientation and flexible step size, Neural regeneration research, 8(16), 1481-1490, 2013, SCI    Yao X, Fan Y , Huang G , et al. Evaluation of Fiber Tracts for Brain Aging via Diffusion Tensor Imaging Tract Analyses: A Pliot Study[J]. Journal of Medical Imaging & Health Informatics, 2018, 8(1):105-109. Yao X, Wang Y , Yu T , et al. Improving Cerebral Neural Tract Identification via Fiber Clustering with a Reliable Fiber Similarity Metric[J]. Journal of Medical Imaging and Health Informatics, 2017, 7(1):241-246. Yao X, Wang Y, Zhuang S. A robust fiber clustering method for tract refinement[J]. Optik - International Journal for Light and Electron Optics, 2015, 126(19):2070-2073.