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Barbara Hammer received her Ph.D. in Computer Science in 1999 and her venia legendi in Computer Science in 2003, both from the University of Osnabrueck, Germany. From 2000-2004, she was chair of the junior research group
‘Learning with Neural Methods on Structured Data’ at University of Osnabrueck before accepting an offer as professor for Theoretical Computer Science at Clausthal University of Technology, Germany, in 2004. Since 2010, she is holding a professorship for Machine Learning at the Faculty of Technology at Bielefeld University, Germany.
Several research stays have taken her to Italy, U.K., India, France, the Netherlands, and the U.S.A. Her areas of expertise include hybrid systems, self-organizing maps, clustering, and recurrent networks as well as applications in bioinformatics, industrial process monitoring, or cognitive science.
She is member of IEEE CIS and GI. She has been chairing the IEEE CIS technical committees on Data Mining, Neural Networks, and the Distinguished Lecturers Committee.