European Numerical Mathematics and
Advanced Applications Conference 2019
30th sep - 4th okt 2019, Egmond aan Zee, The Netherlands
INVITED SPEAKERS
  • Thomas Richter, Universität Magdeburg, Germany
  • Maxim Olhanskii, University of Houston, Texas, USA
  • Eduard Feireisl, Institute of Mathematics of the Czech Academy of Sciences, Czech Republic
  • Michele Benzi, Emory University, Atlanta, USA
  • Gitta Kutyniok, TU Berlin, Germany
  • Francesca Rapetti, Laboratoire de Mathematiques Dieudonne, France
  • Koen Bertels, TU Delft, The Netherlands
  • Tuomo Rossi, University of Jyväskylä, Finland
 
Mishra Siddhartha, ETH Zurich, Switzerland
Siddhartha Mishra is currently Professor for Applied Mathematics at the Seminar for Applied Mathematics (SAM), D-MATH, ETH Zurich. His research interests are in numerical analysis and scientific computing, particularly of nonlinear partial differential equations, with applications to computational fluid dynamics, computational astrophysics, geophysics, climate science and systems biology. He is a recipient of the ERC starting grant (2012), ERC consolidator grant (2018), Richard von Mises prize (2015), Jacques Lious Lions award (2018) and is an invited speaker at the international congress of Mathematicians (2018)
 
Karen Willcox, MIT, Maine, USA
Karen E. Willcox is Director of the Institute for Computational Engineering and Sciences (ICES) and a Professor of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin. Prior to joining ICES in 2018, she spent 17 years as a professor at the Massachusetts Institute of Technology, where she served as the founding Co-Director of the MIT Center for Computational Engineering and the Associate Head of the MIT Department of Aeronautics and Astronautics. Prior to joining the MIT faculty, she worked at Boeing Phantom Works with the Blended-Wing-Body aircraft design group. Her research at MIT has produced scalable computational methods for design of next-generation engineered systems, with a particular focus on model reduction as a way to learn principled approximations from data and on multi-fidelity formulations to leverage multiple sources of uncertain information. She is a Fellow of SIAM and Associate Fellow of AIAA.