Project number:
09I03-03-V04-00530
Title of the project:
Development of reliable and explainable models for industrial monitoring, optimization, and control
Grant scheme:
VAIA: Fellowships for excellent researchers R2-R4
Project type:
Operating programs
Project duration (start):
01.09.2024
Project duration (end):
31.08.2026
Principal investigator:
Radoslav Paulen

The DREAMINC project aims to revolutionize soft sensor technology, enhancing the safety and sustainability of chemical industries. Led by Prof. Radoslav Paulen, this interdisciplinary project focuses on three key goals:

  1. Interpretable Soft Sensors: Creating interpretable multi-linear models to efficiently capture complex process behaviors.
  2. Reliable Soft Sensors: Utilizing optimal experiment design and Bayesian-like approaches to improve model accuracy and identify knowledge gaps.
  3. Software Implementation: Developing an open-source toolkit for soft sensor design and conducting practical demonstrations.

These innovations bridge the gap between theory and industrial practice, contributing to a more efficient, autonomous, and sustainable chemical industry. The project aligns with EU goals for green and digital transformation and involves collaboration with academic and industrial partners for practical impact.

Publications

2025

  1. R. FáberM. Klaučo – K. Ľubušký – R. Paulen: Integrating Linear and Nonlinear Models for Enhanced Process Monitoring. Editor(s): Paulen, R.; Fikar M.; Oravec J., In Proceedings of the 2025 25th International Conference on Process Control, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinsk´eho 9, SK812-37, Bratislava, Slovak Republic, pp. 52–52, 2025.   Zenodo
  2. R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Multi-fidelity Modeling for Process Optimization in Refinery Operations. In 51st International Conference of the Slovak Society of Chemical Engineering SSCHE 2025, Slovak Society of Chemical Engineering, Bratislava, SK, pp. 140–140, 2025.   Zenodo
  3. R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Improving Process Monitoring via Dynamic Multi-Fidelity Modeling. 2025.   Zenodo
  4. A. Fedor – J. Gaborčík – R. Paulen: Modelling and Simulation of Reaction-Separation Processes using gPROMS ProcessBuilder. In 51st International Conference of the Slovak Society of Chemical Engineering SSCHE 2025, Slovak Society of Chemical Engineering, Bratislava, SK, pp. 139–139, 2025.   Zenodo

Investigators


Responsibility for content: doc. Ing. Radoslav Paulen, PhD.
Last update: 26.09.2023 11:41
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