Project number:

23-04-06-A

Title of the project:

Streamlined Operations with Modeling and Integrated Data Strategies

Grant scheme:

Early Stage Grant STU

Project type:

Other projects

Project duration (start):

01.03.2024

Project duration (end):

27.02.2026

Principal investigator:

Rastislav Fáber

2026

1. P. Arbetová – R. Fáber – K. Ľubušký – R. Paulen: A Practical Approach to Anomaly Detection in Industrial Data. In 52nd International Conference of the Slovak Society of Chemical Engineering, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, pp. 161–161, 2026.
2. R. Fáber – K. Ľubušký – R. Paulen: A Simplified Framework for Process Model Development in Industrial Simulation Environments. In 52nd International Conference of the Slovak Society of Chemical Engineering, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, pp. 162–162, 2026.
3. R. Fáber – K. Ľubušký – R. Paulen: A Hybrid Data-Driven Approach for the Optimization of an Industrial Alkylation Unit. In Systems and Control Transactions, vol. 5, pp. 2481–2487, 2026.
4. R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Data-based multi-fidelity modeling for online sensors correction. Computers & Chemical Engineering, 2026, Volume 211, vol. 211, pp. 109665, 2026.   Zenodo
5. R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Physics-guided multi-fidelity soft sensing for online analyzer consistency monitoring. Chemical Engineering Research and Design, vol. 234, pp. 112–125, 2026.