Dr. Stefan R?ping is the leader of the Integrated Data Mining group at Fraunhofer IAIS. He studied Computer Science at the University of Dortmund and worked as research assistant at the artificial intelligence chair at the University of Dortmund in the DFG Collaborative Research Center on Complexity Reduction in Multivariate Data (SFB 475), where he also finished his PhD thesis on Learning Interpretable Models in 2006.
His research interests are on the combination of statistical and machine learning algorithms, novel learning tasks, and on the interpretability and adaptability of machine learning models. He co-organized a workshop on Learning with Multiple Views at the International Conference on Machine Learning ICML?05. He served as a member of the program committee of several international conferences, e.g. the European Conference on Machine Learning (ECML) 2005-2008. His project experience includes leading the technical management committee of the EU integrated project ACGT, work package leadership in several other EU projects, and management of a wide range of commercial projects.
