IRTG Modern Inverse Problems (MIP)

SSD Seminar Series SS 2021

10. Dezember 2020 | von

School for Simulation and Data Science (SSD)

April 2021 – July 2021 Seminars take place via Zoom. Zoom link will be send one week before each seminar via newsletter. Registration for the SSD Seminar is not required. If you need any organisational help, just email to AICES Service Team: office@aices.rwth-aachen.de


Jan Christian Hueckelheim, Ph.D.
Argonne National Laboratory, Illinois, USA
Automatic Differentiation in High Performance Computing and Machine Learning

Prof. Dr. Anne K. Reinarz
Department of Computer ScienceDurham University, UK
Bayesian Inverse Problems for Tsunami Simulation

Markus Ihmsen, Ph.D.
Fifty2 Technology GmbH
Virtual testing with particle-based methods in the industry

Dr.-Ing.  Andre Weiner
Institute of Fluid Mechanics, Flow Modeling and Control Group, TU Braunschweig
Computational fluid dynamics and machine learning with OpenFOAM and PyTorch 

Prof. Dr. Florian Wagner
Lehrstuhl für Applied Geophysics and Geothermal Energy (E.ON Energy Research Center), RWTH Aachen
An overview of joint inversion approaches in geophysical imaging of the subsurface

Prof. Dr. Katerina Stankova
Data Science & Knowledge Engineering, Faculty of Science and Engineering, Maastricht University, NL
Improving cancer treatment  through game theory

Prof. Dr. Victor Zavala Tejeda
College of Engineering, University of Wisconsin
The Euler Characteristic: A General Topological Descriptor for Complex Data

Dr. Martin Eigel
WIAS Berlin, Forschungsgruppe „Nichtlineare Optimierung und Inverse Probleme“
An adaptive tensor reconstruction for Bayesian inversion

Dr. Micheal F. Herbst
Applied and Computational Mathematics (ACoM), RWTH Aachen
Accelerating the discovery of tomorrow’s materials by robust and error-controlled electronic-structure simulations


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