While MRI, CT and x-ray already provide valuable insights into the interior of the body, the technology involving so-called magnetic particle imaging now promises new possibilities with high resolution, less acquisition time and no harmful radiation. In order to be able to draw conclusions about biological processes based on the observation of magnetic particles in a magnetic field, research has to rely on mathematics. Tram Thi Ngoc Nguyen is completing her doctoral thesis on this topic at the University of Klagenfurt.
This year, two colleagues at our faculty defended successfully their habilitation thesis. Daniel Krenn, Department of Mathematics, received the venia docendi in Mathematics, and Annika Wille, Department of Mathematics Education, the venia docendi for Mathematics Education. The certificate was presented on June 17 by the Dean Gerhard Friedrich and the Vice Dean Clemens Heuberger.
Congratulations to our young colleagues for their excellent work and contributions to the field of Mathematics and Mathematics education!
On January 25, 2019, the habilitation colloquium of Daniel Krenn took place. The talk titled
“Research in the spirit of analytic combinatorics explained on the example ʽQuicksort algorithmʼ”
revealed Daniel’s research endeavour and showed his technical proficiency and scientific maturity.
Daniel managed to explain key issues of his research so that it was accessible to the general audience, and at the same time he impressed the experts by his highly nontrivial and interesting work. The presentation was followed by a vivid discussion which covered theoretical issues along with algorithmic aspects all the way to purely didactical questions, for instance how to communicate complicated mathematical topics to children.
We wish Daniel Krenn all the best and many more results that advance the state-of-the-art in Analysis of Algorithms and Analytic Combinatorics!
Every year, around 8,400 employees transport more than 100 million tonnes of goods on behalf of Rail Cargo Austria. 620 traction units and 21,500 goods wagons are required purely for rail cargo operations. In the case of highly complex logistics tasks such as this, the deployment of man and machine requires careful planning. Mathematicians working on a project funded by FFG are now developing algorithms designed to significantly enhance the planning process.