Hjem
Matematisk institutt

Magne S. Espedal Lecture - 26 September 2016

Hovedinnhold

The role of mathematics in high-performance computing for geophysical problems
Prof. Barbara Wohlmuth (Technische Universität München)

Prof. Barbara Wohlmuth is the second to be appointed as Magne S. Espedal Professor by the Faculty of Mathematics and Natural Sciences. Magne Espedal (1942-2010) a prominent professor at the University of Bergen, and central in building what today is the group for Applied and Computational Mathematics at the Department of Mathematics, University of Bergen. As a teacher and supervisor Prof. Espedal was an excellent role model for students in mathematics. The Magne Espedal Professorship is awarded to an internationally recognized researcher within applied mathematics, computational science, mathematical modeling and/or energy research.
 

The research of Prof. Wohlmuth examines the numerical simulation of partial differential equations. Special areas of interest here are discretization techniques, adaptivity, multi-scale solvers and the mathematical modeling of coupled multi-field problems. Interdisciplinary cooperation with engineering experts is an important part of her work.

Prof. Wohlmuth studied mathematics at TUM and the University of Grenoble. She completed her doctorate in 1995 at TUM and her lecturer qualification in 2000 at the University of Augsburg. After that, she did research at the Courant Institute of Mathematical Sciences at New York University and the Université Pierre et Marie Curie, Paris. She also worked as a visiting professor in France and Hong Kong. In 2010, Prof. Wohlmuth accepted her current position at TUM. She is a member of the Executive Board of the Association of Applied Mathematics and Mechanics (GAMM) and Chair of the Advisory Board of the Weierstrass Institute for Applied Analysis and Stochastics. She is also a member of the Editorial Board of Computational Mechanics, Zeitschrift für Angewandte Mathematik und Mechanik, SIAM Journal on Scientific Computing and Numerische Mathematik.