Projects per year
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 → …
Fingerprint
Dive into the research topics where Gábor Princz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
IntelliProPS
Erol, S. (PI), Hörbe, R. (CoI), Princz, G. (CoI), Algan, M. (CoI) & Shaloo, M. (CoI)
1/03/23 → 28/02/26
Project: Research
-
-
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)
1/06/21 → 30/11/23
Project: Research
-
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
-
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 -
A literature review on the prediction and monitoring of assembly and disassembly processes in discrete make-To-order production in SMEs with machine vision technologies
Princz, G., Shaloo, M. & Erol, S., 9 Jan 2023, Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023. Association for Computing Machinery, p. 318-327 10 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
-
Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning
Shaloo, M., Princz, G. & Erol, S., 2023, Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023. Borgianni, Y., Matt, D. T., Molinaro, M. & Orzes, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 167-181 15 p. (Lecture Notes in Networks and Systems; vol. 745 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review