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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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Workshop "Machine Learning in Geophysical Modeling"

On behalf of Prof. Dr. Tijana Janjic, Prof. Dr. Marcel Oliver, and Prof. Dr. Nadja Ray  the “Machine Learning in Geophysical Modeling” workshop took place in the historic Speinshart Monastery in September 2025, hosted by the Speinshart Scientific Centre for AI and SuperTech (SSC).

The SSC, funded by the Bavarian State Ministry of Science and the Arts and supported by the Association of Bavarian Universities and Universities of applied sciences, provides a unique retreat concept setting for in-depth scientific exchange.

This workshop brought together researchers in machine learning with applications in geophysical sciences and geophysical scientists using machine learning in their work. Topics include:

  • Machine learning in geophysical modeling
  • Uncertainty quantification
  • Data assimilation and bias analysis
  • Explainable AI in the context of geophysics

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.