Welcome to the Group Algorithmics I
Prof. Dr. Dorothea Wagner
Karlsruhe Institute of Technology (KIT)
Institute of Theoretical Informatics
Group Algorithmics I
Phone +49 721 608-43919
Fax +49 721 608-44211
- July, 2018: The paper of Moritz Klammler, Tamara Mchedlidze and Alexey Pak , titled “Aesthetic Discrimination of Graph Layouts” was acknowledged with best paper award in the Experimental Track of the International Symposium of Graph Drawing and Network Visualization, 2018. This paper is based on the Master's thesis of Moritz Klammler, it touches the basic question of Graph Drawing: “how to determine which of the two given layouts of the same graph is more aesthetically pleasing?” and has in the core machine learning methods.
- 15. June 2018: Prof. Dr. Dorothea Wagner, Lukas Barth, M. Sc. and co-authors Nicole Ludwig and Veit Hagenmeyer from Institut for Automation and Applied Informatics) win the Audience Choice Award at ACM e-Energy 2018 for their paper How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes.
- 1. June 2017: KIT Team wins first place in the ICPC German Collegiate Programming Contest (GCPC)
- 30. May 2017: Holger Ebhart wins the FZI price for the best application-focused bachelor thesis. The topic is on “Umlegungsverfahren für öffentliche Verkehrsnetze mittels minimal erwarteter Ankunftszeit”. The award ceremony is part of “Tag der Informatik 2017”.
- August 24, 2016: Dr. Ben Strasser wins the first place of the PACE 2016 competition using the FlowCutter algorithm. The objective of the competition was to efficiently compute small tree-decompositions. FlowCutter scored the first place in the sequential track and second place in the parallel track.
- May 19, 2014: Prof. Dr. Dorothea Wagner receives together with Prof. Ulrik Brandes (Universität Konstanz) DFG funding for the project Skeleton-based Clustering in Big and Streaming Social Networks in the priority programme Algorithms for Big Data
Our research is primarily concerned with algorithms and related topics, in particular as applied to graphs. Our work is both theoretical and applied and it is enriched through cooperation with companies and other researchers.
We provide our students with an education that teaches them to work scientifically and enables them to adapt to changing professional requirements. Motivated students are integrated into current research projects.