News – University of Klagenfurt

Quanta – From Mystery To Revolution

One hundred years ago, quantum physics revolutionized our understanding of the world; today, it continues to actively shape our future. On the occasion of UNESCO’s International Year of Quantum Science and Technology, an event was held at the University of Klagenfurt to highlight the connections to and current research in Carinthia, organized by Paul Erker (IQOQI Vienna), Peter Holub (Educational Lab at Lakesidepark and Verein Inizia), and Angelika Wiegele (Institute of Mathematics, AAU).

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Defensio by Iryna Vasylieva

Iryna Vasylieva successfully defended her doctoral thesis entitled “Linearization of Contractive Random Dynamical Systems” on October 27, 2025.

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Defensio by Tobias Wolf

Tobias Wolf successfully defended his doctoral thesis entitled “Iterative Decomposition Methods for Ill-Posed Problems” on September 15, 2025. He is the seventh doctoral candidate to graduate from doc.funds’ “Modeling-Analysis-Optimization of discrete, continuous and stochastic systems” doctoral program.

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Robert Poorten/Adobestock

Renewable energy for electric mobility – as accessible as parking spaces

Where will all the electricity required for the increasing number of electric cars come from? The Shared Charging project aims to provide an answer to this common question. The research team is developing a novel approach to public charging systems that can be seamlessly integrated into renewable energy systems. The goal is to create a comprehensive, user-friendly network of charging points that is as accessible as today’s parking spaces – but powered by solar, wind and other renewable sources.

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Best Performer Awards, Roland-Mittermeir-Preis und Dissertationspreis der Fakultät für Technische Wissenschaften 2024/25

Am 5. November wurden im Rahmen der Veranstaltung University meets Industry: Talents for Carinthia die Best Performer Awards 2024/25, der Roland-Mittermeir-Preis 2024 sowie erstmals der Dissertationspreis 2024/25 verliehen.

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Women in Math_Elena Resmerita I (c) Christina Supanz

Faster mathematical methods for stable technical solutions

Inverse problems constitute an essential framework for approaching a large variety of issues in technical and medical domains. They are used to determine the underlying causes and structures on the basis of measurements or results. Examples include imaging techniques, where measurement data is used to produce an image of the inside of the body or the inside of a bridge pier. The challenge here is that most inverse problems have the vulnerability that even small perturbations in the data can trigger high oscillations in the solution. A research team at the Department of Mathematics, led by Elena Resmerita, is seeking to develop new and faster mathematical methods to find stable solutions to these problems.

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