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Perne Petra

DIRECTOR
computer science
university of south florida
Germany

Biography

Perne Petra is the Director of the Institute of Computer Vision and Applied Computer Sciences IBaI. She received her Diploma degree in Electrical Engineering and PhD degree in Computer Science for the work on “Data reduction methods for industrial robots with direct teach-in-programing”. Her habilitation thesis entitled “A methodology for the development of knowledge-based image-interpretation systems". She has been the Principal Investigator of various national and international research projects. She received several research awards for her research work and has been awarded with three business awards for her work on bringing intelligent image interpretation methods and data mining methods into business. Her research interest includes “Image analysis and interpretation, machine learning, data mining, big data, machine learning, image mining and case-based reasoning Perne Petra is the Director of the Institute of Computer Vision and Applied Computer Sciences IBaI. She received her Diploma degree in Electrical Engineering and PhD degree in Computer Science for the work on “Data reduction methods for industrial robots with direct teach-in-programing”. Her habilitation thesis entitled “A methodology for the development of knowledge-based image-interpretation systems". She has been the Principal Investigator of various national and international research projects. She received several research awards for her research work and has been awarded with three business awards for her work on bringing intelligent image interpretation methods and data mining methods into business. Her research interest includes “Image analysis and interpretation, machine learning, data mining, big data, machine learning, image mining and case-based reasoning

Research Interest

Image analysis and interpretation, machine learning, data mining, big data, machine learning, image mining and case-based reasoning”.

Publications

  • Maintenance of engineering systems by big data

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