Welcome to the website of the Chair of Geomatics and Geomathematics

Endowed Chair of the City of Ingolstadt

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

10-06-2025

Successful PhD Defense of Dr. Daniel Müllerklein

We are happy to celebrate the successful PhD defense of Daniel Müllerklein.

Under the supervision of Prof. Pirmin Fontaine, Daniel made significant contribution to the field of resilient supply chain management. He developed innovative data-driven solution approaches for strategic, tactical, and operational decision making. He applied advanced combinatorial optimization techniques, e.g. Benders decomposition, novel machine learning algorithms, and heuristics. His applications on real-world data showed the practicability of his methodological framework. Daniel is now continuing his career in the family-owned Borne Group as CEO. We wish him all the best for his future career and always a resilient supply chain in his business.

His PhD thesis resulted in four papers. One is already Published in the European Journal of Operational Research (VHB: A) and two are currently under review in two top-journals (both VHB: A):

Müllerklein, D., & Fontaine, P. (2025). Resilient transportation network design with disruption uncertainty and lead times. European Journal of Operational Research, 322(3), 827-840.
Müllerklein, D., Fontaine, P., & Ortmann, J. (2025). A Cost Focused Machine Learning framework for replenishment decisions under transportation cost uncertainty. Working Paper.
Müllerklein, D., & Fontaine, P., 2025. On product characteristics in a two-echelon resilient network design. Working Paper.
Müllerklein, D., 2025. A seven-step supply chain resilience framework for mitigating waterborne disruptions in transportation network design. Working Paper.

MIDS seminar

Mathematical Institute for Machine Learning and Data Science

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