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News from the IMACM

In diesem Projekt geht es um die Verwendung von Methoden des generativen Lernens im Design. Durch das Training von generativen neuronalen Netzwerken, z.B. GAN oder Invertible Flows, an Daten aus der numerischen Simulation lernt ein Algorithmus den Zusammenhang zwischen den Designparametern und der Leistungsfähigkeit des Designs in Hinblick auf multiple Qualitätsmerkmale (Zielgrößen). Ziel des Projektes ist die inverse Fragestellung ,,Welche Designparameter gehören zu welcher Kombination von Zielgrößen?" mit datenbasierten Verfahren zu beantworten. Anwendung findet das Projekt im Design eines wasserstoffähigen Injektors für eine Gasturbine. Siemens Energy und das BMWi Fördern das Vorhaben zu gleichen Teilen mit insgesamt 174.000 Euro.

Abbildung: Verbrennungssystem der SGT-600 Gasturbine von Siemens Energy

Ansprechpartner: Hanno Gottschalk
hanno.gottschalk@uni-wuppertal.de

Dr. Claudia Totzeck ist neue Junior-Professorin für kontinuierliche Optimierung in der Fakultät für Mathematik und Naturwissenschaften an der Bergischen Universität Wuppertal.

In ihrer Forschung beschäftigt sich die 34-Jährige mit der Modellierung, Simulation und Optimierung von interagierenden Partikelsystemen, welche beispielsweise in der Steuerung von Fußgänger*innen- oder Herdenverhalten Anwendung finden. Die Juniorprofessorin studierte Mathematik (Bachelor) an der Justus-Liebig-Universität Gießen sowie Mathematics International (Master) an der Technischen Universität Kaiserslautern, wo sie 2016 auch promovierte.

Claudia Totzeck war Wissenschaftliche Mitarbeiterin an der TU Kaiserslautern und bis zu ihrem Wechsel nach Wuppertal im April dieses Jahres Margarete-von-Wrangell Fellow an der Universität Mannheim.

October 4–8, 2021
Hammamet, Tunisia

The aim of the conference is to compare and contrast various stochastic methods from mathematical physics and financial mathematics with focus on Stochastic analysis, Kinetic theory, Numerical solutions of stochastic differential equations, Infinite dimensional analysis and White noise theory, Optimal transport and control. Our main objective is to provide a forum where researchers and students can discuss, compare mathematical methods in these fields with the aim of establishing new collaborations.
Organizers: Gulia Di Nunno (Oslo University), Martin Friesen (Dublin City University), Habib Ouerdiane (Tunis El Manar University), Barbara Rüdiger (University of Wuppertal), Baris Evren Ugurcan (University of Wuppertal)
LINK: http://pinguim.uma.pt/Investigacao/Ccm/rdsamff20/

Scientific Committee: Sergio Albeverio (Bonn University, HCM), Gulia Di Nunno (Oslo University), Nicole El Karoui (Ecole Polytechnique), Martin Friesen (Dublin City University), Yuri Kondratiev (Bielefeld University), Berndt Oksendal (Oslo University), Habib Ouerdiane (Tunis El Manar University), Michael Röckner (Bielefeld University), Barbara Rüdiger (University of Wuppertal), Nizar Touzi (Ecole Polytechnique)

The IMACM-juniors organize a monthly virtual game night for its members. We want to provide the opportunity playing some online party games for bigger groups, like garticphone, among us or scribble.io, as well as forming smaller groups to play even more games. It is a great way to keep in touch and have some fun together. Hopefully, we can meet in person again as soon as possible, but until then we will have some online get-togethers. The next virtual game night will take place on May 18th, 2021.

Due to the ongoing coronavirus pandemic the third annual kick-off meeting took place as a virtual meeting on February 23rd, 2021. Many old and new faces of the different working groups came together. After a short round of introduction, the participants talked about further projects, wishes and ideas for the IMACM-juniors. Unfortunately, we are not able to meet in person yet. Furthermore, the new chair was voted and the meeting ended by playing some online games.

The 21st European Conference on Industrial Mathematics (ECMI2021) will take place from April 13 to 15, 2021. This conference is organized every two years by the "European Consortium for Mathematics in Industry". Due to the Corona pandemic, the conference will be held completely online and organized by the Bergische Universität Wuppertal.

Link

The University of Wuppertal has confirmed a competitive position in the 2020 Shanghai Global Ranking in Mathematics. Internationally the mathematicians from Wuppertal are ranked under the 201-300 best university math departments worldwide. Within Germany, the rank is 12-22. This is a further confirmation of the department's competitive research profile and provides us with motivation for future research activities.

Link

(Foto: Bergische Universität Wuppertal)

November 23 – 27, 2020
Hammamet, Tunisia

This confernce aims to collect leading experts working in mathematical Physics or mathematical Finance with particular focus on Stochastic analysis, Kinetic theory, Numerical solutions of stochastic differential equations, Infinite dimensional analysis and White noise theory, Optimal transport and control. Our main objective is to provide a forum where researchers discuss, compare mathematical methods in these fields with the aim of establishing new collaborations among all participants. Some financial support for Ph.D. students is avaliable. This conference is funded by the German Academic Exchange Service (DAAD).

Organizers:
• Gulia Di Nunno (Oslo University)
• Martin Friesen (University of Wuppertal)
• Habib Ouerdiane (Tunis El Manar University)
• Barbara Rüdiger (University of Wuppertal)

http://pinguim.uma.pt/Investigacao/Ccm/rdsamff20/


Scientific Committee: Sergio Albeverio (Bonn University, HCM), Gulia Di Nunno (Oslo University), Nicole El Karoui (Ecole Polytechnique), Martin Friesen (University of Wuppertal), Yuri Kondratiev (Bielefeld University), Berndt Oksendal (Oslo University), Habib Ouerdiane (Tunis El Manar University), Michael Röckner (Bielefeld University), Barbara Rüdiger (University of Wuppertal), Nizar Touzi (Ecole Polytechnique)

Um die Weiterentwicklung Künstlicher Intelligenz im Bereich des autonomen Fahrens geht es in dem neuen Verbundprojekt „KI-Datentooling“, an dem auch Wissenschaftler*innen der Bergischen Universität Wuppertal beteiligt sind. Die Forscher*innen unter Leitung von Prof. Dr. Hanno Gottschalk (Arbeitsgruppe Stochastik) und Dr. Matthias Rottmann (Angewandte Informatik) erhalten für ihr Vorhaben vom Bundesministerium für Wirtschaft und Energie eine Förderung in Höhe von 750.000 Euro.

Pressemitteilung

A new method to enclose the pseudospectrum via the numerical range
of the inverse of a matrix or linear operator is presented. The method is
applied to finite-dimensional discretizations of an operator on an infinite-
dimensional Hilbert space, and convergence results for different approxi-
mation schemes are obtained, including finite element methods. We show
that the pseudospectrum of the full operator is contained in an inter-
section of sets which are expressed in terms of the numerical ranges of
shifted inverses of the approximating matrices. The results are illustrated
by means of two examples: the advection-diffusion operator and the Hain-
Lüst operator.

arXiv: http://arxiv.org/abs/2004.12790

zuletzt bearbeitet am: 12.03.2020