Summary
Fuyong Xing is an Associate Professor based in Denver with nine years of experience at the intersection of Health AI, machine/deep learning, and medical image computing. He leads research and teaching in imaging informatics, translating advanced neural methods into clinically relevant tools for medical image analysis. His academic trajectory spans doctoral training in electrical and computer engineering and progressive research roles at Rutgers, Kentucky, Florida, and the University of Colorado Denver, reflecting deep domain expertise and sustained scholarly productivity. Known for bridging rigorous algorithm development with real-world healthcare applications, he often focuses on robust, reproducible models suited to noisy clinical data. Colleagues value his ability to move projects from concept to validated prototypes that inform both research and clinical decision support.
9 years of coding experience
14 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Rutgers University-New Brunswick
Bachelor's degree, Information Engineering, Bachelor's degree, Information Engineering at Xi'an Jiaotong University
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at University of Florida
English, Chinese