Ye Duan received the B.S. degree in Mathematics from Peking University, Beijing, P. R. China in 1991, an M.S. degree in Mathematics from Utah State University, Logan, UT, in 1996, an M.S. degree in Computer Science from State University of New York at Stony Brook in 1998, and the Ph.D degree in Computer Science from State University of New York at Stony Brook in 2003. Dr. Duan joined the Department of Computer Science at the University of Missouri, Columbia, MO, in August 2003. Currently, he is an Assistant Professor in the Department of Computer Science.
Dr. Duan's research is the areas of Computer Vision and Biomedical Imaging, Computer Graphics and Visualization, Geometric and Physics-based Modeling, Virtual Reality and Human-Computer Interaction, Computer Animation and Simulation. He has developed a novel deformable model Lagrangian Surfac Flow that can automatically recover complicated geometry as well as arbitrary topologies simultaneously from various data formats such as point clouds, volumetric images, as well as 2D multiple-view imagery. Recently, Dr. Duan has participated in research in 3D urban scene reconstruction from multi-spectral imagery and video input.