Speakers Bio


Prof Thomas Seidl, RWTH Aachen

Thomas Seidl is a full professor for Computer Science and head of the Data Management and Data Exploration group at RWTH Aachen University, Germany, where he currently advises eight PhD students.

His research interests include data mining and data management in multimedia and spatio-temporal databases for applications from computational biology, medical imaging, mechanical engineering, computer graphics, etc. whith a focus on content, shape or structure of complex objects in large databases. Current projects aim at fast content-based multimedia retrieval, relevance feedback, subspace clustering, outlier detection, stream data minining, and anytime mining algorithms. His research in the field of relational indexing aims at exploiting the robustness and high performance of relational database systems for complex indexing tasks.

Having finished his MS in 1992 at the Technische Universität München, Thomas received his Ph.D. in 1997 and his venia legendi in 2001 from the University of Munich, Germany. In 2001, he was a guest lecturer at the University of Augsburg and from 2001 to 2002, he held a substitute professorship for Databases, Data Mining, and Visualization at the University of Constance, Germany.

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