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Mathis Hoffmann, M. Sc.

  • Job title: Researcher
  • Organization: Department of Computer Science
  • Working group: Chair of Computer Science 5 (Pattern Recognition)
  • Phone number: +49 9131 85 25246
  • Fax number: +49 9131 85 27270
  • Email: mathis.hoffmann@fau.de
  • Website:
  • Address:
    Martensstr. 3
    91058 Erlangen
    Room 09.153

  • Since 06/2018:
    Researcher at the Pattern Recognition Lab
  • 10/2017 – 05/2018:
    Master thesis at Siemens Healthineers
  • 02/2014 – 04/2016:
    Working student at Fraunhofer IIS

2018

  • Analysis of Defects on Solar Power Cells

    (Third Party Funds Group – Sub project)

    Overall project: iPV 4.0: Intelligente vernetzte Produktion mittels Prozessrückkopplung entlang des Produktlebenszyklus von Solarmodulen
    Term: August 1, 2018 - July 31, 2021
    Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)

    Over the last decade, a large number of solar power plants have been installed in Germany. To ensure a high performance, it is necessary to detect defects early. Therefore, it is required to control the quality of the solar cells during the production process, as well as to monitor the installed modules. Since manual inspections are expensive, a large degree of automation is required.
    This project aims to develop a new approach to automatically detect and classify defects on solar power cells and to estimate their impact on the performance. Further, big data methods will be applied to identify circumstances that increase the probability of a cell to become defect. As a result, it will be possible to reject cells in the production that have a high likelihood to become defect.

2019

Journal Articles

Conference Contributions

2018

Journal Articles

Conference Contributions