Ústav informatizácie, automatizácie a matematiky

Ing. Rastislav Fáber

Pracovné zaradenie:
Doktorand
Oddelenie:
Oddelenie informatizácie a riadenia procesov (OIaRP)
Miestnosť:
NB 647
eMail:
Webová stránka:
https://www.uiam.sk/~faber/
Telefón:
+421 259 325 349, +421 907 472 759
ORCID iD:
0000-0003-0088-3467
WoS ResearcherID:
GQQ-3157-2022
Vedecká činnosť:
Vytvorenie modelu a návrh experimentu, Softvérové senzory, Klasifikácia dát
Dostupnosť:

Publikácie

Článok v časopise

  1. 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, zv. 211, str. 109665, 2026.   Zenodo
  2. M. Wadinger – R. Fáber – E. Plšičík Pavlovičová – R. Paulen: Carbon neutral greenhouse: Economic model predictive control framework for education. European Journal of Control, zv. 83, str. 101297, 2025.

Príspevok na konferencii

  1. P. Arbetová – R. Fáber – K. Ľubušký – R. Paulen: A Practical Approach to Anomaly Detection in Industrial Data. V 52nd International Conference of the Slovak Society of Chemical Engineering, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, str. 161–161, 2026.
  2. R. Fáber – K. Ľubušký – R. Paulen: A Simplified Framework for Process Model Development in Industrial Simulation Environments. V 52nd International Conference of the Slovak Society of Chemical Engineering, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, str. 162–162, 2026.
  3. R. Fáber – K. Ľubušký – R. Paulen: A Hybrid Data-Driven Approach for the Optimization of an Industrial Alkylation Unit. V Systems and Control Transactions, zv. 5, str. 2481–2487, 2026.
  4. R. Fáber – M. Vaccari – R. Bacci di Capaci – G. Pannocchia – R. Paulen: A Multi-Fidelity Residual-Correction Framework for Industrial Soft Sensing. V 2026 European Control Conference (ECC), IEEE, Reykjavík, Iceland, str. 1659–1664, 2026.
  5. R. Fáber – M. Klaučo – K. Ľubušký – R. Paulen: Integrating Linear and Nonlinear Models for Enhanced Process Monitoring. Editor(i): R. Paulen and M. Fikar and J. Oravec, V Proceedings of the 2025 25th International Conference on Process Control, IEEE, str. 1–6, 2025.   Zenodo
  6. R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Multi-fidelity Modeling for Process Optimization in Refinery Operations. V 51st International Conference of the Slovak Society of Chemical Engineering SSCHE 2025, Slovak Society of Chemical Engineering, Bratislava, SK, str. 140–140, 2025.   Zenodo
  7. R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Improving Process Monitoring via Dynamic Multi-Fidelity Modeling. V 14th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, Elsevier, str. 199–204, 2025.   Zenodo
  8. R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Soft-Sensor-Enhanced Monitoring of an Alkylation Unit via Multi-Fidelity Model Correction. V Systems and Control Transactions, zv. 4, str. 1389–1395, 2025.
  9. R. Fáber – M. Mojto – K. Ľubušký – R. Paulen: From Data to Alarms: Data-driven Anomaly Detection Techniques in Industrial Settings. Editor(i): Flavio Manenti, G.V. Rex Reklaitis, V 34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering, zv. 53, str. 2857–2862, 2024.   Zenodo
  10. R. Fáber – M. Mojto – K. Ľubušký – R. Paulen: Integrated Data Analytics and Regression Techniques for Real-time Anomaly Detection in Industrial Processes. V 12th IFAC Symposium on Advanced Control of Chemical Processes, str. 320–325, 2024.   Zenodo
  11. R. Fáber – K. Ľubušký – M. Mojto – R. Paulen: Enhancing Industrial Data Analysis through Machine Learning-based Classification of Petrochemical Datasets. V 49th International Conference of the Slovak Society of Chemical Engineering SSCHE 2023, Slovak Society of Chemical Engineering, Bratislava, SK, str. 160–160, 2023.   Zenodo
  12. R. Fáber – K. Ľubušký – R. Paulen: Machine Learning-based Classification of Online Industrial Datasets. Editor(i): R. Paulen and M. Fikar, V Proceedings of the 2023 24th International Conference on Process Control, IEEE, Slovak University of Technology in Bratislava, Radlinského 9, 81237, Bratislava, Slovakia, str. 132–137, 2023.   Zenodo
  13. R. Fáber – R. Valo – M. Roman – R. Paulen: Towards Temperature Monitoring in Long-Term Grain Storage. V 2022 Cybernetics & Informatics (K&I), str. 1–6, 2022.   Zenodo

Dizertačná práca

  1. R. Fáber: Multi-fidelity Modelling for Advanced Monitoring in Process Industries. ÚIAM FCHPT STU v Bratislave, Radlinského 9, 812 37 Bratislava, 2026.

Diplomová práca

  1. R. Fáber: Monitoring the temperature of stored grain. Diplomová práca, ÚIAM FCHPT STU v Bratislave, Radlinského 9, 812 37 Bratislava, 2022.

Rôzne

  1. R. Fáber: Hybrid Modeling and Real-time Optimization of Processes. 2023.

Ústav informatizácie, automatizácie a matematiky vznikol 1.1.2006 spojením Katedry informatizácie a riadenia procesov a Katedry matematiky.

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