Prof. Eitan Tadmor
Eitan Tadmor is a Distinguished University Professor at the University of Maryland, College Park (UMd). After gaining his Ph.D. from Tel Aviv University in 1979, and a post-doc as a Bateman Instructor in CalTech, 1980-1982, he returned to his alma mater in 1983, where he later chaired the Department of Applied Math, 1991-1993. In 1995 Tadmor joined the UCLA Math Department where he was the founding co-director of the NSF Institute for Pure and Applied Math (IPAM), 1999-2001. In 2002, he was recruited to lead the UMd Center for Scientific Computation and Math Modeling (CSCAMM), and served as its first Director during the fourteen-year period of 2002-2016. Tadmor holds joint appointment in CSCAMM, the Math Department and IPST.
Tadmor delivered an invited lecture at the ICM2002 (Beijing), plenary addresses in the international conferences on hyperbolic problems (Zurich 1990 and Beijing 1998), the SIAM invited address at the 2014 Joint Math Meeting and the 2016 Leçons Jacques-Louis Lions at the Université Pierre et Marie Curie. In 2012 he was in the inaugural class of AMS Fellows. He was the Principal Investigator (PI) for NSF Focus Research Group on “Kinetic Description of Multiscale Phenomena'' (2008-2012), and the NSF Research Network “Kinetic Description of Emerging Challenges in Natural Sciences'' (Ki-Net, 2012-2019). In 2015, he was awarded the SIAM-ETH Henrici prize for “original, broad and fundamental contributions to the applied and numerical analysis of nonlinear differential equations''.
In 2016-2017 he was a Senior Fellow at the Institute for Theoretical Studies at ETH-Zürich.The signature of Tadmor's work is the interplay between analytical theories and computational algorithms with diverse applications to shock waves, kinetic transport, incompressible flows, image processing, and self-organized dynamics. In particular, he has made fundamental contributions to the development of high-resolution methods, introducing the class of central schemes, of entropy conservative schemes and the spectral viscosity method for nonlinear conservation laws, he was involved in pioneering analytical work on regularizing effects and on critical thresholds phenomena in such laws, introduced multi-scale hierarchical decompositions for solving ill-posed inverse problems in image processing, and introduced several new paradigms for self-organization in collective dynamics.