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Bernd Neumann
University of Hamburg
Membership Number: 15
Address: Fachbereich Informatik, Universität Hamburg, Vogt-Kölln-Straße 30, 22527 Hamburg, Germany
Email: neumann@informatik.uni-hamburg.de
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Biographical Sketch
Prof. Bernd Neumann is full professor at the Department of Computer Science and head of the Cognitive Systems Laboratory. He holds a diploma in Electrical Engineering (Darmstadt/Germany) and a M.S. and Ph.D. from MIT/USA. He has been engaged in a broad spectrum of Computer Vision and AI work for more than 30 years resulting in numerous publications. Since 1988 he is also the head of the AI Laboratory within the Department of Computer Science. As such he is responsible for AI application developments in cooperative projects with industrial partners.

As an experienced AI specialist he has been frequently engaged in program comittees, as a referee, tutorial lecturer, invited speaker and consultant in several countries. From 1985 - 1988 he has been the chairman of the German Society for Artificial Intelligence. In 1992 he has been the program chairman of the European AI Conference ECAI-92. He is member of the Scientific Advisory Board of the German Research Institute for Artificial Intelligence (DFKI) and the Swedish Research Institute ISIS in Linkoping. Since 1997 he is the Chair of the IFIP Technical Comitee for Artificial Intelligence (TC12).

University of Hamburg, CSL
The Cognitive Systems Laboratory (CSL) is one of the major research units within the Department of Computer Science (FB Informatik) at Hamburg University. In its 30 years of research and teaching the unit has attained international recognition in Computer Vision, Knowledge Representation and related areas of Artificial Intelligence.

The research team currently comprises16 scientists and 2 technicians engaged both in basic research and application oriented work with industrial partners. There is close cooperation with two further AI groups at the same department (headed by Prof. Habel and Prof. v. Hahn). In Computer Vision the work of CSL on natural-language description of dynamic scenes belongs to the pioneering contributions to the field. Current work is focussed on knowledge-based prediction and formal methods for spatial and temporal reasoning.


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