Successful Conference on Computational Optimization held at Alpen-Adria-Universität Klagenfurt

The European Conference on Computational Optimization 2025 (EUCCO 2025) took place at the Department of Mathematics of the Alpen-Adria-Universität Klagenfurt from September 29, 2025, to October 1, 2025.

Defensio by Teresa Rauscher

On October 7, Teresa Rauscher successfully defended her dissertation on “Imaging with Nonlinear Ultrasound Waves: Modeling, Analysis and Numerics,” becoming the 10th graduate of the doc.funds doctoral school “Modeling-Analysis-Optimization of discrete, continuous and stochastic systems.” The thesis was reviewed by Prof. Mechthild Thalhammer, University of Innsbruck, and Prof. Lehel Banjai, Heriot-Watt University, Edinburgh, who also served as examiners. The dissertation was supervised by Barbara Kaltenbacher, in collaboration with Prof. Vanja Nikolić, Radboud University, Nijmegen. Read more →

Defensio by Phuoc Truong Huynh

On October 1, 2025, Phuoc Truong Huynh successfully completed his doctoral studies with his thesis on “Parameter identification from optimized measurements, with applications in acoustics.” He is thus the eighth doctoral graduate of the doc.funds doctoral school “Modeling-Analysis-Optimization of discrete, continuous, and stochastic systems.” The examiners (and reviewers of the dissertation) were Prof. Tapio Helin, LUT University Finland, and Prof. Vincent Duval, INRIA, France. The thesis was supervised by Barbara Kaltenbacher, AAU, and Prof. Daniel Walter, Humboldt University of Berlin.

Making better use of energy thanks to optimisation methods: new MSCA doctoral network ALMOA approved

ALMOA (Advances in Large-scale, Multilevel, and Hierarchical Optimisation for Challenging Applications) is set to be launched in January 2026. It is the first doctoral network coordinated by the University of Klagenfurt that is funded by the EU through Horizon Europe as a Marie Skłodowska-Curie Action. Thirteen doctoral students will be conducting research on mathematical optimisation issues at thirteen European universities. The project has two aims: the new algorithms should help to make logistics and transport more sustainable, energy systems more efficient, and data processing more resource-efficient. At the same time, the doctoral students will benefit from an excellent training network, providing them with valuable cross-sector insights.