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Dr. Herzog started out to study Computer Science at the Universitaet Karlsruhe in summer 1969 and received his diploma in Applied Mathematics and Informatics from the Universitaet Bonn in 1972. He received his PhD from the Informatics Department of the Universitaet Dortmund in 1976.
From 1977 to 1993 he worked with IBM where he held several technical and managerial positions in international software product development and research. His projects included mainframe operating systems, quality assurance (DOS/VSE and Unix, 1977-1984), communications software, full-text information retrieval systems (IBM SearchManager), CIM repository systems, and a system for environmental impact analysis (1991-1993). From 1985 to 1991 he directed the Institute for Knowledge-based Systems in the Scientific Center of IBM Germany, where he headed numerous AI research projects, the most important one being LILOG - Natural Language Processing and Text Understanding.
From March 2000 to February 2002, Dr. Herzog was on leave from the university and held the CTO position at Lenze AG where he was responsible for hardware and software development.
From 1993 to 2009, Dr. Herzog held the chair on Artificial Intelligence in the Department of Mathematics and Computer Science at the Universität Bremen and headed the Artificial Intelligence Research Group. He continues to supervise PhD students, to direct research projects, and to acquire new projects.
His current research interests at TZI/Universitaet Bremen include:
· Mobile, wearable and ubiquitous computing for industrial and end user applications in production, logistics, maintenance, healthcare, and for first responders, · Knowledge Management including spatial and temporal knowledge, e.g., for determining the context in Ubiquitous Computing, and for logistics applications, · Multi-agent systems, modeling and verification of flexible work flow processes and integration of heterogeneous data sources, e.g., for information logistics networks, · Data mining and knowledge discovery techniques with applications in, e.g., network security, and dynamic knowledge management in autonomous logistics processes. · Automatic content analysis and annotation of still images, videos and sound for content-driven multimedia archiving, retrieval, and video abstracting, · Innovative vision systems for, e.g., quality control and underwater robots.
Bridging the Gap between Invention and Innovation
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