Mechanical and Systems Engineering Luca Steinmann, M.Sc.

• Prognostics and Health Management (PHM)
• Condition monitoring and diagnosis of technical systems
• Artificial intelligence and machine learning
• Software Engineering

By arrangement

since July 2024: Research assistant at the Faculty of Machines and Systems

2021 - 2024: Process Data Engineer IIoT

2021: Master of Science degree in the “Research Master Data Science” program at Bielefeld University of Applied Sciences

2019: Software Engineer Production

2019: Bachelor of Engineering degree in “Mechatronics” at the Private University of Applied Sciences for Business and Technology

Mauthe, F.; Steinmann, L.; Neu, M.; Zeiler, P. (2025): Overview and Analysis of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management. Proceedings of the 35th European Safety and Reliability Conference and the 33rd Society for Risk Analysis Europe Conference, 2025-06-15 – 2025-06-19, Stavanger, Norway, DOI: 10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P7412-cd

Steinmann, L.; Migenda, N.; Voigt, T.; Kohlhase, M.; Schenck, W. (2021): Variational Autoencoder based Novelty Detection for Real-World Time Series. 2021 3rd International Conference on Management Science and Industrial Engineering, 2021-04-02 – 2021-04-04, Osaka, Japan, DOI: 10.1145/3460824.3460825

Institute for Technical Reliability and Prognostics (IZP), Prof. Dr.-Ing. Peter Zeiler