Prof. Eitan Tadmor
Department of Mathematics, Institute for Physical Science & Technology, Center for Scientific Computation and Mathematical Modeling, University of Maryland
Edge Detection, Hierarchical Decompositions and Velocity Averaging
I will discuss three separate problems which are dominated by the presence of different scales. The first problem deals with edge detection in noisy spectral data using separation of scales. The second problem originates with image processing: I will present a novel representation of texture which is decomposed into hierarchical scales of edges. I will conclude with velocity averaging of kinetic to macroscopic scales, deriving new regularizing effects in nonlinear second-order equations.
Eitan Tadmor is a Distinguished University Professor at the University of Maryland, College Park and the Director of the university Center for Scientific Computation and Mathematical Modeling (CSCAMM). He received his Ph.D. in Mathematics from Tel Aviv University (TAU) in 1979 and began his scientific career in CalTech, 1980-1982. He held professorship positions at TAU, 1983-1998, and at UCLA, 1995-2004, where he was the founding co-director of the NSF Institute for Pure and Applied Mathematics (IPAM) in 1999-2001. Since 2002, he serves on the faculty of the Department of Mathematics and the Institute for Physical Sciences and Technology in the University of Maryland.
Eitan Tadmor’s primary research interests include the development of novel, high-resolution algorithms for the approximate solution of time-dependent problems and the interplay between analytical theory and computational aspects of such approximate methods, with applications to shock waves, kinetic transport, incompressible flows and image processing. He published more than one hundred research papers, has given numerous invited lectures and is serving on the editorial boards of more than a dozen international journals.