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IRTG Modern Inverse Problems (MIP)
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Juni 2021

SSD Seminar with Prof. Dr. Florian Wagner

Juni 14 @ 16:00 - 17:00
a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you need any organizational help please contact office@aices.rwth-aachen.de

Prof. Dr. Florian Wagner - An overview of joint inversion approaches in geophysical imaging of the subsurface Lehrstuhl für Applied Geophysics and Geothermal Energy (E.ON Energy Research Center), RWTH Aachen Abstract: For an efficient and safe use of the subsurface, for example in the context of geological storage, the use of geothermal energy, or groundwater extraction, reliable monitoring methods are of utmost importance. Various geophysical techniques offer opportunities to image structures and processes within the Earth using sensors at its…

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SSD Seminar Series with Prof. Dr. Katerina Stankova

Juni 21 @ 16:00 - 17:00
a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you want to participate, please send an email to office@aices.rwth-aachen.de to get the zoom link.

Katerina Stankova - Improving cancer treatment  through game theory Data Science & Knowledge Engineering, Faculty of Science and Engineering, Maastricht University, NL In this talk, we will investigate cancer treatment as a game-theoretic contest between the physician's therapy and the cancer cells' resistance strategies. This game has two critical advantages for the physician: 1. Only the physician can play rationally. Cancer cells, like all evolving organisms, can only adapt to current conditions; they can neither anticipate nor evolve adaptations for…

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SSD Seminar Series with Prof. Dr. Victor Zavala

Juni 28 @ 16:00 - 17:00
a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you want to participate, please send an email to office@aices.rwth-aachen.de to get the zoom link.

Prof. Dr. Victor Zavala - The Euler Characteristic: A General Topological Descriptor for Complex Data College of Engineering, University of Wisconsin   Abstract Datasets are mathematical objects (e.g., point clouds, matrices, graphs, images, fields/functions) that have shape. This shape encodes important knowledge about the system under study. Topol- ogy is an area of mathematics that provides diverse tools to characterize the shape of data objects. In this work, we study a specific tool known as the Euler characteristic (EC). The EC is a general, low-dimensional,…

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Juli 2021

SSD Seminar Series with Dr. Martin Eigel

Juli 5 @ 16:00 - 17:00
a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you need any organizational help please contact office@aices.rwth-aachen.de

Dr. Martin Eigel - An adaptive tensor reconstruction for Bayesian inversion WIAS Berlin, Forschungsgruppe „Nichtlineare Optimierung und Inverse Probleme“ Abstract We consider a functional low-rank representation for probability densities which can be applied in Bayesian inverse problems. While the used tensor compression makes the evaluation of high-dimensional integrals amenable (under appropriate conditions), typical properties of the measures such as non-linearity and high concentration cannot be represented easily in a classical (polynomial) basis. We hence propose to first construct a transport…

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SSD Seminar Series with. Dr. Michael F. Herbst

Juli 12 @ 16:00 - 17:00
a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you need any organizational help please contact office@aices.rwth-aachen.de

Dr. Michael F. Herbst - Accelerating the discovery of tomorrow's materials by robust and error-controlled electronic-structure simulations Applied and Computational Mathematics (ACoM), RWTH Aachen Abstract Nowadays an established approach to discover novel materials is large-scale computational screening. In this approach the chemical andphysical properties of a large design space of candidate materials is systematically simulated in order to deduce the most suitable subset for further in-depth investigation. A central ingredient in most screening workflows are simulations based on density-functional theory~(DFT).…

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