Prof. Dr. Thomas A. Runkler,

Siemens ICT


Intelligent systems and components are able to efficiently manage complexity and uncertainty, while exhibiting high flexibility and robustness. Intelligent systems perceive and understand their environment, learn and adapt their behavior, and act autonomously, even under previously unknown circumstances. Agent technologies, peer-to-peer systems, and grid computing are the basis for self-organization, self-optimization, and self-configuration. Key applications of intelligent systems are complex data analysis, signal processing, monitoring, fault prevention, diagnosis, system modeling, prognosis, robotics and advanced control systems. This presentation gives an overview of the intelligent system activities at Siemens and presents selected industrial project examples.

Thomas Runkler received his MS and PhD in electrical engineering from the Technical University of Darmstadt, Germany, in 1992 and 1995, respectively. He has been teaching computer science at the Technical University of Munich, Germany, since 1999, and was appointed honorary professor in 2011. Since 1995 he has been working for Siemens Corporate Technology, currently in the position of the Global Technology Field Leader for Intelligent Systems and Control with about 60 employees located in Germany, USA, Russia, and India. Thomas authored and co-authored more than 150 scientific publications. His main research interests include computational intelligence, data analytics, self-organization and control. He is a Vice Chair of the IEEE Computational Intelligence Society Committee on Technology Transfer and speaker of the Fuzzy Systems and Soft Computing group of the German Association for Computer Science (GI).


Date: 2011-Nov-10     Time: 10:00:00     Room: Room P12, Pav. de Matemática, IST

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