Prof. Thielen and Dr. Boeckmann nominated for prize
TUMCS | Press Release | 16.04.2024
The two researchers Prof Clemens Thielen from the Professorship Complex Networks of HSWT at the TUM Campus Straubing (TUMCS) and Dr Jan Boeckmann have been nominated for the EURO Prize for OR for the Common Good 2024 of the Association of European Operational Research Societies (EURO) with the research article resulting from their project on heavy rain prevention.
One of the consequences of climate change are intense heavy rain events, which can cause severe damage to buildings due to flooding. Photo: Hochschule Mainz, Fachbereich Wasser- und Siedlungswasserwirtschaft
The researchers had applied for the prize and are now among the three finalists who will be able to present their work at the 33rd European Conference on Operational Research (EURO) in Copenhagen. Jan Boeckmann, who after completing his doctorate at TUMCS is now working as a Post-Doc at the Johannes Kepler University Linz, will then present the work there.
The EURO Prize for OR for the Common Good is a recognition for making an outstanding contribution to addressing global challenges through the application of OR. It also aims to encourage the use of OR for the common good, and to raise awareness of the important role OR can play in contributing to global challenges such as the UN Sustainable Development Goals. The prize is endowed with 3,000 euros.
Prevent serious damage to buildings
Adapting to the consequences of climate change is one of the central challenges faced by humanity in the next decades. One of these consequences are intense heavy rain events, which can cause severe damage to buildings due to flooding. In this paper, we present the first use of optimization techniques that scales well enough to be applicable for supporting decision-making in planning precautionary measures for flash floods caused by heavy rain events in realistic scenarios.
“Our mixed-integer programming model has been implemented as an innovative decision support tool in the form of a web application, which has already been used by more than 30 engineering offices, municipalities, universities, and other institutions”, Prof. Thielen says. The model aims to minimize the damage caused in the case of a heavy rain event by taking best-possible actions subject to a limited budget and constraints on the cooperation of residents. “We further present an efficient, graph-based representation and preprocessing of the surface terrain, a combinatorial algorithm for computing an initial solution of the mixed-integer program, and computational results obtained on real-word data from different municipalities”, Prof. Thielen says.