B.Sc. Maximilian Gast

Former student employees
(Fraunhofer projekt group KogMat^D)

2023 to 2025: Student employees
2024–2025: Professional internship: ‘Generation of synthetic training data for training image-based object recognition in industrial processes’
2023: Bachelor’s thesis: ‘Data collection for image-based object recognition of mechanical components’
Student in the Master's programme ‘Artificial Intelligence Technology’ 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.

Name	Purpose	Lifetime	Type	Provider
_pk_id	missing translation: trackingobject._pk_id.desc	13 missing translation: duration.months	missing translation: type.cookie_http+html	Matomo
_pk_ref	missing translation: trackingobject._pk_ref.desc	6 missing translation: duration.months	missing translation: type.cookie_http+html	Matomo
_pk_ses	missing translation: trackingobject._pk_ses.desc	30 missing translation: duration.minutes	missing translation: type.cookie_http+html	Matomo