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Welcome to the website of the Chair of Geomatics and Geomathematics

Endowed Chair of the City of Ingolstadt
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One of Professor Ray's main areas of work is multi-scale modeling. She cooperates with geoscientists to find out more about the composition and structure of soils. “The microstructure of the soil has a direct influence on its macroscopic behavior. One focus of my work is therefore to build bridges between these two scales,” explains Professor Ray. As the composition of soils is not static, but constantly changing, this places particular demands on multi-scale modeling of issues in this area. Soil plays an important role in questions of energy, sustainability, climate and the environment - as a reservoir for water and carbon and as a habitat for microorganisms. For example, multiscale modeling provides the basis for simulating the absorption of water and nutrients by roots as well as ideal living conditions for microorganisms - also as a basis of knowledge for combating hunger.

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Participation in Digi:Werk10

The Mathematical Institute for Machine Learning and Data Science (MIDS) at the Catholic University of Eichstätt-Ingolstadt was also represented at DigiWerk10, a networking event organized by KUS in Reichertshausen (Pfaffenhofen district). Faculty and students presented current work in the fields of data science, AI, and scientific machine learning. Among those in attendance were Dr. Felix Bartel, Dr. Jörg Steinwagner, and Elisabeth Schönau and Andrei Dolmatov, students in Prof. Tijana Janjić’s department.

The event also highlighted the practical approach of MIDS and the Catholic University in collaboration with regional partners. In collaboration with the company Aixelo, it became clear how partnership between the university and industry is already being put into practice during students’ studies. For example, Minh Tran, a MIDS student, completed an internship at Aixelo and, together with company owner Christoph Kreisbeck, presented the results of this collaboration. The exchange illustrated how scientific methods from AI and data science can be transferred to concrete industrial applications.

Through initiatives such as DigiWerk10, MIDS and KU are actively engaged in the Region10 and are strengthening the network between research, students, companies, and societal stakeholders.

Mathematical Institute for Machine Learning and Data Science

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The Chair of Geomatics and Geomathematics is part of the Mathematical Institute for Machine Learning and Data Science, MIDS.
Learn more about MIDS here.