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.

New research project: Artificial Intelligence that thinks logically

How can systems solve complex problems such as creating a duty roster in a hospital or a time and room schedule at a university – while remaining clear and easy to follow? In the project ‘EX3: EXplain and EXploit Knowledge EXtracted to Improve ASP’, funded by the Austrian Science Fund FWF, Alice Tarzariol will be working on new methods for solving these kinds of issues more efficiently and accurately with the help of Artificial Intelligence.

Alumni Business Tour at Infineon Austria: Behind the Scenes of Semiconductor Production

Strong interest, fascinating insights, and engaging conversations: the Alumni Business Tour organised by the University of Klagenfurt’s Alumni Network took participants to Infineon Technologies Austria in Villach on 22 October 2025 – and the event was fully booked well in advance. Read more →

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.