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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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Tourism Technology Festival

On November 9 and 10, the Tourism Technology Festival 2.0, a hackathon, took place in Salzburg, Austria. 

Denis Hoti, Ali Guliyev, Lukas Lang, Jakub Wisniewski, Southik Banarjee and Veronika Rybak from the KU's Data Science program took part in this event. 

In total, there were five different tasks on the topic of tourism. The KU team chose the challenge “Travel personalization by culture and personality” and solved the task by implementing AI and machine learning solutions. They generated a model that they were able to train using the data provided. They developed a solution that shows tourists the best travel route for Austria. 

After 24 hours of programming, a 15-minute interview is conducted by the jury. In the end, the KU students won the “Best Open Source” prize. This is awarded to the team with the best technical performance and the best documentation.

Congratulations from the entire MIDS!

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.