Conference papers

  • Hörbe, R., Erol, S. (2025). Optimizing LightGBM for Regression: A Study on Parameter Influence and Performance. 11th IFAC Conference on Manufacturing Modelling, Management and Control – Trondheim, Norway
  • Princz, G., Reisacher, F., & Erol, S. (2025). AI-based Procurement System: Optimization of Material Ordering and Inventory Management in Volatile Markets. Procedia CIRP, 134, 873-878.
  • Hörbe, R. and Erol, S., 2024. Artificial Intelligence in planning and control tasks: a study of potential use cases and perceived challenges in Austrian make-to-order companies. Procedia CIRP, 130, pp.232-237. CIRP CMS 2024, Portugal, Póvoa de Varzim.
  • Princz, G., Shaloo, M., Reisacher, F. and Erol, S., 2024. Machine Learning-Driven Maintenance Order Generation in Assembly Lines. IFAC-PapersOnLine, 58(19), pp.139-144. 18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024 – Vienna, Österreich (August 2024)
  • Princz, G., Shaloo, M., Reisacher, F., & Erol, S. (2024). Machine Learning-Driven Maintenance Order Generation in Assembly Lines. IFAC-PapersOnLine, 58(19), 139-144.
  • Princz, G., Shaloo, M., & Erol, S. (2024). Anomaly detection in binary time series data: An unsupervised machine learning approach for condition monitoring. Procedia Computer Science, 232, 1065-1078.
  • Shaloo, M., Princz, G., Hörbe, R., & Erol, S. (2024). Flexible automation of quality inspection in parts assembly using CNN-based machine learning. Procedia Computer Science, 232, 2921-2932.
  • Shaloo, M., & Princz, G. (2023). Real-Time Material Identification Using Light Spectroscopy and Support Vector Machine (SVM). In ICINCO (2) (pp. 227-235).
  • Shaloo, M., Princz, G., Erol, S. (2023). Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning. In: Borgianni, Y., Matt, D.T., Molinaro, M., Orzes, G. (eds) Towards a Smart, Resilient and Sustainable Industry. ISIEA 2023. Lecture Notes in Networks and Systems, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-031-38274-1_15 

Journal papers

  • Princz, G.; Spiess, K.; Erol, S.. AI-Based Maintenance Monitoring in Assembly Stations: Agent-based Simulation of Process Time Deviations as Wear Indicators. Journal of Autonomous Intelligent Systems. Springer. (Feb. 2025)

Talks

  • Hörbe, R.: “Künstliche Intelligenz im Anwendungsfeld kreislauforientierter Produktentwicklung und Produktion – Potentiale, Risiken und Realität”. Veranstaltung der Initiative Nachhaltige Zukunft Möbel. Linz – Business Upper Austria – OÖ Wirtschaftsagentur GmbH. 5.3.2024
  • Erol, S.: “AI-Applications in Industrial Production Planning and Control Tasks – Recent research and outlook“. Veranstaltung Trinationaler Round Table AI der Initiative Hochschulraum Europaregion Donau-Moldau. Budweis, CZ. 24.4.2024
  • Erol, S.: “IntelliProPS – Practial application of AI in Production Planning and Control”. 8. Zukunftsheurigen Haus der Digitalisierung, FOTEC, DIH-OST. Innovation Lab der FHWN. 10.9.2024
  • Erol, S.: “Guest lecture at Austrian Mechatronics Platform Forum: Use of artificial intelligence methods in the control of manufacturing processes – application examples and research projects”, FH Campus Wien, 17.11.2023

Press Releases