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Welcome to the website of the Chair of Geomatics and Geomathematics

Endowed Chair of the City of Ingolstadt
Nadja Webseiten

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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Math News

MIDS researchers at WMO data assimilation symposium in Nanjing

Prof. Dr. Tijana Janjić, Tatsiana Bardachova and Catherine George (Chair in Data Assimilation) represented MIDS at the joint meeting of the 8th World Meteorological Organization (WMO) Symposium on Data Assimilation and the 12th International Symposium on Data Assimilation (ISDA), held at Nanjing University, China, from 31 August to 4 September 2026.

Prof. Janjić gave an oral presentation on research done together with Tatsiana Bardachova and two MIDS students Andrei Dolmatov and Elisabeth Schönau entitled “Uncertainty quantification in convective scale data assimilation”. PhD students Tatsiana Bardachova and Catherine George presented their research in poster sessions. The meeting brought together researchers and practitioners to discuss the combination of observations and numerical models to improve estimates and predictions of the Earth system.

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.