Personal profile
Research interests
Condition Monitoring, Predictive Maintenance, Prognostics and Health Management, Simulation and Optimalization, Manufacturing Technology
Education/Academic qualification
Master, M.Eng. (Naval Architecture) , Kiel University of Applied Sciences
Sept 2015 → Oct 2020
Bachelor, B.Eng. (Naval Architecture) , Kiel University of Applied Sciences
Sept 2015 → Jul 2018
PhD, Dr.techn., TU Wien
Jul 2024 → …
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure -
SDG 12 Responsible Consumption and Production
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Collaborations and top research areas from the last five years
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ReMAIntAIn
Erol, S. (PI), Princz, G. (CoI) & Aminabadi Saeidi, S. (CoI)
1/03/25 → 31/03/28
Project: Research
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IntelliProPS
Erol, S. (PI), Hörbe, R. (CoI), Princz, G. (CoI), Algan, M. (CoI), Shaloo, M. (CoI), Romauch, M. (CoI), Pavlović, A. (CoI) & Aminabadi Saeidi, S. (CoI)
1/03/23 → 28/02/26
Project: Research
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Care about Care – C^C
Schneider, C. (PI), Princz, G. (CoI), Rauter, M. (CoI), Kolmann, P. (PI), Tatzer-Hanten, V. C. (CoI), Rameder, P. (CoI), Rudel, B. (CoI) & Szvetits, M. (CoI)
1/06/21 → 30/11/23
Project: Research
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AI-based Procurement System: Optimization of Material Ordering and Inventory Management in Volatile Markets
Princz, G., Reisacher, F. & Erol, S., 2025, In: Procedia CIRP. 134, p. 873-878 6 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
A Data Management Concept for Learning Factories to Support Scenario-Based Learning of Advanced Manufacturing Data Analytics for SMEs
Grano, A., Princz, G., Erol, S. & Hörbe, R., 11 Jul 2024, Learning Factories of the Future - Proceedings of the 14th Conference on Learning Factories 2024. Thiede, S. & Lutters, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 278-285 8 p. (Lecture Notes in Networks and Systems; vol. 1060 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Anomaly Detection in Binary Time Series Data: An unsupervised Machine Learning Approach for Condition Monitoring
Princz, G., Shaloo, M. & Erol, S., 1 Jan 2024, In: Procedia Computer Science. 232, p. 1065-1078 14 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Flexible automation of quality inspection in parts assembly using CNN-based machine learning
Shaloo, M., Princz, G., Hörbe, R. & Erol, S., 1 Jan 2024, In: Procedia Computer Science. 232, p. 2921-2932 12 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Machine Learning-Driven Maintenance Order Generation in Assembly Lines
Princz, G., Shaloo, M., Reisacher, F. & Erol, S., 1 Aug 2024, In: IFAC-PapersOnLine. 58, 19, p. 139-144 6 p.Research output: Contribution to journal › Conference article › peer-review
Open Access