On July 27, 2017, I gave the research talk Automating Scientific Research in Optimization at the Computational Intelligence Group of Prof. Dr. Rudolf Kruse at the Institute of Intelligent Cooperating Systems, Faculty of Computer Science of the Otto von Guericke University Magdeburg (OVGU, Otto-von-Guericke-Universität Magdeburg).
The Computational Intelligence Group has a tradition of more than twenty years. It is focused on intelligent data analysis using computational intelligence technologies, such as neural networks, fuzzy systems, evolutionary algorithms, Bayesian networks, machine learning (e.g., clustering), and approximate reasoning. The have conducted numerous fundamental research projects with support from DFG, COST, DAAD, and the EU as well as a wide variety of successful industry collaborations with companies such as BMW, Daimler, VW, Dresdner Bank, HDI, BT, Beiersdorf, SAP, and Siemens. They have published more than 35 books and 475 refereed papers. Recently, for instance, Prof. Kruse et al. published the second edition of their book Computational Intelligence: A Methodological Introduction (Springer, ISBN 978-1-4471-7294-9, doi:10.1007/978-1-4471-7296-3), which discusses neural networks, evolutionary algorithms, fuzzy systems, and Bayes networks. Remarkably, they also provide lecture slides for the whole book.
It was a real pleasure to visit this research group and a honor to meet Prof. Kruse and I really enjoyed our talk.