I am always offering Bachelor and Master theses within the Angewandte Informatik program. Please contact me for details.
One line of my research deals with supervised learning with support vector machines (SVMs). On the one hand I am interested in the SVM training problem, which basically amounts to large scale quadratic programming. On the other hand I am trying to simplify SVM usage for non-experts by developing robust methods for automatic model selection. My research activities include both theoretical and practical aspects ranging from SVM optimization to experimental comparison studies and software development.
I am also interested in evolutionary algorithms, in particular evolution strategies for controller design and real-valued black box optimization. This activity offers fascinating theoretical challenges, and at the same time highly efficient practical algorithms with endless applications.
This is a newly acquired project in cooperation with the chair Computergestützte Statistik at the Technical University of Dortmund. It is funded by the Mercator Research Center Ruhr. A short project description can be found here.
Currently I don't have any open positions available.
I am an active developer of the Shark Machine Learning Library. Shark is an open-source, modular, and fast C++ library. A large share of my research code is either part of the library or based thereon. Check it out!
Shark is currently undergoing a major transition; actually it is more fair to speak of a complete rewrite. By now (2013) the work is mostly done, and we already have an alpha release of the brand new Shark 3. A few more design changes are underway that will make the library even faster and even more complete.