LSU ECE Seminar Announcement and Schedule

         On Thursday, 14 April 2016, 10:30 - 11:30,                    
         in Digital Media Center Theater:                              
                                                                       
                 Optimal Mass Transportation for Shape Analysis        
                                                                       
                               David Xianfeng Gu                       
                             Stony Brook University                    
                                                                       
         Abstract--Optimal mass transportation map from a Riemannian   
         manifold to itself transforms one probability measure to the  
         other in the most economical way, the transportation cost is  
         the so-called Wasserstein distance between the two measures.  
         Wasserstein distance is a Riemannian metric in the space of   
         all probability measures on the Riemannian manifold. Finding  
         the optimal mass transportation map is equivalent to solve the
         Monge-Ampere equation, which has intrinsic relations with     
         Minkowski and Alexandrov problems in convex geometry. In this 
         talk, we introduce a variational approach to solve the optimal
         mass transportation problem, which gives a constructive proof 
         for the classical Alexdrov theorem and leads to a practical   
         algorithm. We also cover some direct applications of optimal  
         mass transportation, such as surface and volume               
         measure-preserving parameterization, and shape classification 
         based on Wasserstein distance and so on.                      
                                                                       
         Bio--David Gu got his bachelor degree from Tsinghua University
         and his Ph.D. from Harvard University in 2003, supervised by a
         Fields medalist Prof.. S-T Yau. He is an associated professor 
         in the Computer Science department and an adjunct in the      
         Applied Mathematics Science department in SUNY at Stony Brook.
         His research focuses on developing discrete geometric theories
         and apply them in engineering and medicine fields. He is one  
         of the major founders of an emerging inter-disciplinary       
         field--Computational Conformal Geometry. Recently, he won     
         Morning Side Gold Medal in Applied Mathematics in 2013.       
                                                                       
         Thursday, 14 April 2016, 10:30 - 11:30                        
         Digital Media Center Theater                                  
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Schedule as of 8 Apr 2016.  For updates visit http://www.ece.lsu.edu/seminar

No other future seminars currently scheduled.

For the latest schedule, abstracts of upcoming talks, and
PDF announcements suitable for posting visit

http://www.ece.lsu.edu/seminar