tba
MS1 Benchmarking in Applied Mathematics and Mechanics
Organizers
Jens Saak
Max Planck Institute for Dynamics of Complex Technical Systems
Robert Speck
Forschungszentrum Jülich
Jan Philipp Thiele
TU Braunschweig
MS2 Combining Stochastic Microstructure Modeling, Machine Learning and Numerical Methods for Virtual Materials Testing
Organizers
Orkun Furat
University of Southern Denmark
Volker Schmidt
Universität Ulm
MS3 High-Dimensional Random Landscapes: Spin Glasses, Random fields, and Machine Learning
Organizers
Anton Klimovsky
Uni Würzburg
Evgeny Spodarev
Universität Ulm
MS4 Active Learning for Systems and Control – Data Informativity, Uncertainty, and Guarantees
Organizers
Timm Faulwasser
Uni Hamburg
Karl Worthmann
TU Ilmenau
MS5 Numerical methods for environmental problems
Organizers
Alexey Chernov
Uni Oldenburg
Heiko Gimerplein
Uni Innsbruck
Thomas Hartmann
THU
Ernst P. Stephan
Uni Hannover
Thomas Wick
Uni Hannover
MS6 Randomized linear algebra in scientific machine learning and data science
Organizers
David Persson
NY University & Flatiron Institute
Diana Halikias
NYU, New York
MS7 Machine Learning in Actuarial Science
Organizers
Matthias Scherer
TU München
Mitja Stadje
Uni Ulm
MS8 Conservative-dissipative evolution: Geometry, analysis, stochastics and numerics
Organizers
Omar Maj
MPI for Plasma Physics Garching
Johannes Zimmer
TU München
MS9 Mathematics of Complex Quantum Systems
Organizers
Konstantin Merz
TU Braunschweig
Alexander Bols
ETH Zürich
MS10 Optimization under uncertainty
Organizers
Frauke Liers
FAU Erlangen-Nürnberg
Martin Schmidt
Uni Trier