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Faculty 1
Chair of Cognitive Material Analytics (gemeinsame Berufung mit Fraunhofer IKTS Dresden) Prof. Dr.-Ing. Constanze Tschöpe

M.Sc. Maximilian Mühle

Scientific Assistant
(Fraunhofer project group KogMatD)

Building 3A, Room 333
T +49 (0) 355 60 5112
maximilian.muehle(at)ikts.fraunhofer.de

  • From December 2019: Research assistant in the project group "Cognitive Material Diagnostics" at Fraunhofer IKTS
  • Master's thesis "Development of a learning method for the evaluation of compressors based on acoustic signals", November 2019
  • April 2019 to November 2019: Research assistant at Fraunhofer IKTS
  • January 2018 - February 2018: Research assistant at the department "Programming Languages and Compiler Construction" at the Brandenburg University of Technology Cottbus-Senftenberg
  • October 2017 - February 2018: Tutor at the department "Programming Languages and Compiler Construction" at the Brandenburg University of Technology Cottbus-Senftenberg
  • April 2017 to July 2017: Tutor at the department "Programming Languages and Compiler Construction" at the Brandenburg University of Technology Cottbus-Senftenberg
  • April 2017 to November 2019: Computer Science degree program (M.Sc.) at the Brandenburg University of Technology Cottbus-Senftenberg
  • Bachelor thesis "Extension of an image inpainting algorithm with the help of a dynamic amoeba", April 2017
  • October 2013 to April 2017: Degree program Computer Science (B.Sc.) at the Brandenburg University of Technology Cottbus-Senftenberg
  • C. Tschöpe, M. Mühle, Y. C. Ju, I. Kraljevski, M. Wolff. Künstliche Intelligenz in der ZfP – Welchen Beitrag kann KI in der ZfP leisten? DGZFP-Jahrestagung, 2021. https://www.ndt.net/article/dgzfp2021/papers/19.pdf.
  • P. Holstein, F. Duckhorn, M. Hennecke, M. Mühle, C. Tschöpe, S. Moeck, P. Kolbe. Using ultrasound to detect underlying compressor issues. compressortech2, CompressorTech2 Sourcing Supplement (CTSS); 2020; S. 203 – 209; www.compressortech2.com; ursprünglich bei IREC 2019 veröffentlicht.
  • M. Hennecke, P. Holstein, F. Duckhorn, M. Mühle, C. Tschöpe, S. Moeck, P. Kolbe. Zustandsüberwachung von Kompressoren mit Ultraschall im Hinblick auf maschinelles Lernen. In Proc. Workshop Kolbenverdichter, S. 227–238, 2019.
  • M. Mühle, C. Tschöpe, F. Duckhorn. CompWatch – Automatische Überwachung von Kompressoren. IKTS-Jahresbericht 2020/21.
  • I. Kraljevski, Y. C. Ju, M. Mühle, D. Lembcke, S. Uhlig, M. Käso, I. Alkhasli, C. Tschöpe. Setup and Knowledge Sharing of the new Fraunhofer Research Group for Cognitive Material Diagnostics. KM2021 Conference, Pre-Conference Industry Day, Leipzig, 29.06.2021. (Invited Talk)