Research Projects

Recent years have seen an upsurge of research on the modeling of extreme events, largely driven by impetus from two major areas of application: finance and environmental science. Many problems resulting from these areas are inherently multivariate and therefore should be analyzed with proper multivariate extreme value methods. For instance, in finance an important problem is to estimate very large quantiles of the distribution of the sums of possibly dependent risks. Our research focus is on (conditional) multivariate extremes.

The University of Southern Denmark (SDU) is supporting the Open Data Experimentarium (ODEx), a beacon project to implement the strategic plan of engaging with society. The work package “Smart City: Intelligent Traffic System” is focused on implementing this plan in collaboration with the municipality of Odense. The package runs from 2017 to 2019.

We collaborate on the design of efficient algorithms for the optimization of flight routes.

The number of passengers in the airline industry has doubled in the last 12 years and the prognosis is that this trend will continue. It poses important issues on security and pollution. A large number of optimization problems are solved to make airways traffic possible. Among them, flight routes must be carefully planned in order to satisfy restrictions imposed by the national and international traffic control institutions and minimize the costs determined by fuel consumption.

In collaboration with DONG Energy (now Ørsted) we developed a system to assess the long term development of electricity and heat production in Denmark.

The energy sector in Europe faces huge challenges due to the need of drastically reducing CO2 emissions by 2035. To realize the phase out of fossil fuel as primary source for the production of heat and electricity a large number of investments are currently undertaken by power utility companies and they need aiding tools in their decision making processes.