KoMSO – the Committee for Mathematical Modeling, Simulation, and Optimization – is a Germany-wide network of scientists from the field of mathematical modeling, simulation and optimization (MSO) and potential users of this technology. KoMSO is a founding node of EU-MATHS-IN, the European Service Network of Mathematics for Industry and Innovation. Since March 2018 it is a non-profit registered association (KoMSO e.V.). KoMSO is open to new members actively involved in MSO projects from both academy and industry.
Its goals are the promotion of scientific research and cooperation in the field of MSO between science, business, society and politics, and the demonstration of the relevance of MSO for society and business through targeted public relations work. A central task of KoMSO is to initiate innovative scientific projects in the field of MSO, e.g., by bringing together representatives of science and industry at events such as the KoMSO Challenge Workshops and others. The fields of expertise include aerospace, automotive industry, healthcare, pharma industry, industrial robotics and many more.
Another type of events initiated by KoMSO is the KoMSO Academy, which aims at offering mathematicians a platform for an exchange on novel mathematical concepts relevant for industrial applications. The next KoMSO Academy – together with the Center for Industrial Mathematics (ZeTeM) in Bremen – is the one on “TorchPhysics: Deep Learning for partial differential equations”, November 7 & 8, 2023 in Heidelberg, Germany (see https://www.komso.org/index.php?id=101 for more information). Deep Learning concepts for PDEs are booming and everybody working in this area is confronted with the challenge to decide on a suitable architecture and concepts for tackling the respective problem.
Contact:
KoMSO coordinator: Dr. Hanna Schilar, schilar@uni-wuppertal.de
KoMSO president: Prof. Dr. Michael Günther, guenther@uni-wuppertal.de
Webpage: https://www.komso.org/