Founder and Director
Institute of Computer Vision and Applied Computer Sciences
Petra Perner is the founder and director of the Institute of Computer Vision and Applied Computer Sciences in Leipzig, Germany. Under her leadership the institute developed to one of the leading institutes in basic and applied research in computer vision, data mining, machine learning, case-based reasoning and image databases. She received a diploma degree in electrical engineering in 1981 and a PhD degree in computer science in 1985. In 1989 she finished her habilitation entitled â€œA Methodology for the Development of Knowledge-Based Image-Interpretation Systemsâ€. Under her guidance highly qualified national and international personnel got trained in the above mentioned high-technology fields through research projects and education programs. The tutorial on Data Mining (www.data-mining-tutorial.de) is a recognized tutorial among the domain experts and is especially designed for training industrial people on hot topics in data mining. She gave courses on Data Mining and Image Interpretation at different universities in various countries. She has been the project leader and principal investigator of various national and international research projects for which she received several research awards. Her projects are marked by the fact that they tie together high-class research with the aspect of the economic application. She is frequently invited as a guest professor for knowledge-based image inspection systems by several national and international institutes and companies. She supervised the foundation of two high-technology companies named ibai-solutions (www.ibai-solutions.de) and ImageInterpret GmbH (www.imageinterpret.de) whose teams received 4 distinct business prices for transferring image-interpretation and data-mining methods to industry. She was the principal founder and chairwoman of the Technical Committee â€œMachine Learning and Data Miningâ€. She is the chairwoman of three distinct conferences in Machine Learning, Data Mining and High-Content Analysis of Signals and Images called MLDM (www.mldm.de), ICDM (www.data-mining.forum.de) and MDA (www.mda-signals.de). Presently she is working on various medical, chemical and biomedical applications, information management applications, technical diagnosis and e-commerce applications. Most of the developments are protected by legal patent rights and can be licenced to qualified industries. She has published numerous scientific publications and patents and is frequently requested as pleanary speaker in distinct research fields as well as across disciplinces. Her vision is to build intelligent flexible and robust data-interpreting systems that are inspired by the human case-based reasoning process.
Applied Computer Science, Data Mining,