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Prof Thomas Seidl, RWTH Aachen |
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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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