Carine de Menezes Rebello
About
I work at the intersection of process systems engineering, optimisation, machine learning, and control, with a strong focus on applications in the chemical process industry.
My research activities span topics such as:
- Process Systems Engineering and optimisation of continuous and batch processes;
- Multi-objective and robust optimisation, with an emphasis on mapping feasible operating regions and supporting decision-making in industrial systems;
- Scientific machine learning and hybrid modelling (phenomenological models combined with AI) for different processes;
- Development of digital twins and cyber-physical systems with online learning, uncertainty assessment, and autonomous decision-making capabilities;
- Application of deep learning, graph neural networks, and transfer learning to non-conventional problems such as fragrance design, discovery of molecules, and prediction of physicochemical properties;
- Use of augmented reality in chemical engineering education and in broader digital transformation and process visualisation contexts.
These topics are closely aligned with the vision of Industry 5.0, where advanced digital technologies are combined with human expertise to create more resilient, intelligent, and efficients.
Publications
I have published over 37 manuscripts, garnering 595 citations, with an h-index of 17 (source: Google Scholar).
List of selected publications:
2026
-
de Menezes Rebello, Carine;
Nogueira, Idelfonso B. R..
(2026)
Data-Driven and Hybrid Modelling for Optimisation, Control, and Digital Twins in Chemical Engineering Challenges.
NTNU Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
Offset-free Lyapunov-based stabilising robust nonlinear control using data-driven model: A nonlinear multi-model computationally efficient approach.
Control Engineering Practice
Academic article
-
Moreira, Lorena Claudia de Souza;
de Menezes Rebello, Carine;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
Augmented reality in architectural heritage preservation: a comprehensive digitization approach validated in Salvador’s Pelourinho district–Brazil.
Cogent Arts & Humanities
Academic article
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
RTO and advanced process control for electric submersible pumps using surrogate models.
Journal of Process Control
Academic article
-
de Menezes Rebello, Carine;
Caprio, Ulderico Di;
Steen-Hansen, Jenny;
Rodrigues, Bruno;
Almeida Costa, Erbet;
Santos, Anderson Rapello dos;
Esposito, Flora;
Leblebici, Mumin Enis;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
ExPUFFIN: Thermodynamic consistent viscosity prediction in an Extended Path-Unifying Feed-Forward Interfaced Network.
Chemical Engineering Journal Advances
Academic article
2025
-
Almeida Costa, Erbet;
Abreu, Odilon Santana Luiz de;
Reges, Galdir;
de Menezes Rebello, Carine;
Fontana, Marcio;
Ribeiro, Marcos Pellegrini;
Nogueira, Idelfonso B. R.;
Schnitman, Leizer.
(2025)
Standard MPC and Inputs-Target MPC implementation comparison in ESP systems.
IFAC-PapersOnLine
Academic article
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Abreu, Odilon Santana Luiz De;
Reges, Galdir;
Viena Santana, Vinicius;
Mendes, Tefilo Paiva Guimares;
Fontana, Marcio;
Bacellar, Francisco Raphael Ribeiro;
Ribeiro, Marcos Pellegrini;
Foresti, Bernardo Pereira.
(2025)
Application of Recurrent Neural Networks for Predictive Modeling of Electrical Submersible Pumps in Oil Extraction.
IFAC-PapersOnLine
Academic article
-
de Menezes Rebello, Carine;
Jäschke, Johannes Ernst Peter;
Nogueira, Idelfonso B. R..
(2025)
Digital Twin for Autonomous Decision-Making in Gas Lift Operations: Improving Reliability and Adaptability.
IFAC-PapersOnLine
Academic article
-
Arrais Romero Dias Lima, Fernando;
Moraes, Marcellus G.F. de;
de Menezes Rebello, Carine;
Barreto, Amaro G.;
Secchi, Argimiro R.;
Souza, Maurício B. de;
Nogueira, Idelfonso B. R..
(2025)
Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization.
Chemical Engineering and Processing
Academic article
-
Voltolini, Leonardo;
Arrais Romero Dias Lima, Fernando;
de Menezes Rebello, Carine;
Itabaiana, Ivaldo;
Nogueira, Idelfonso B. R.;
Secchi, Argimiro Resende;
Souza, Maurício B. de.
(2025)
Machine learning framework to predict product distribution of lignocellulosic biomass pyrolysis.
Bioresource Technology
Academic article
-
de Menezes Rebello, Carine;
Nogueira, Idelfonso B. R..
(2025)
Digital twins in chemical engineering: An integrated framework for identification, implementation, online learning, and uncertainty assessment.
Computers and Chemical Engineering
Academic article
2024
-
Santana, Vinicius;
Rebello, Carine Menezes;
Queiroz, Luana P.;
Ribeiro, Ana Mafalda;
Shardt, Nadia;
Nogueira, Idelfonso B. R..
(2024)
PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction.
Chemical Engineering Science (CES)
Academic article
-
Almeida Costa, Erbet;
Rebello, Carine Menezes;
Schnitman, Leizer;
Loureiro, José Miguel;
Ribeiro, Ana Mafalda;
Nogueira, Idelfonso B. R..
(2024)
Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance.
Engineering Applications of Artificial Intelligence
Academic article
-
de Menezes Rebello, Carine;
Deiró, Gabriela Fontes;
Knuutila, Hanna Katariina;
Moreira, Lorena Claudia de Souza;
Nogueira, Idelfonso B. R..
(2024)
Augmented reality for chemical engineering education.
Education for Chemical Engineers
Academic article
-
Moreira, Lorena Claudia de Souza;
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Ribeiro, Lucília S.;
Nogueira, Idelfonso B. R..
(2024)
Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin.
Applied Sciences
Academic literature review
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Vides, Fredy;
Nogueira, Idelfonso B. R..
(2024)
Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization.
Canadian Journal of Chemical Engineering
Academic article
-
de Menezes Rebello, Carine;
Nogueira, Idelfonso B. R..
(2024)
Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making.
Separation and Purification Technology
Academic article
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Fontana, Marcio;
Schnitman, Leizer;
Nogueira, Idelfonso B. R..
(2024)
Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype.
Industrial & Engineering Chemistry Research
Academic article
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Viena Santana, Vinicius;
Nogueira, Idelfonso B. R..
(2024)
Machine learning multi-step-ahead modelling with uncertainty assessment.
IFAC-PapersOnLine
Academic article
-
Almeida Costa, Erbet;
Rebello, Carine Menezes;
Viena Santana, Vinicius;
Reges, Galdir;
Silva, Tiago de Oliveira;
Abreu, Odilon Santana Luiz de;
Ribeiro, Marcos Pellegrini;
Foresti, Bernardo Pereira;
Fontana, Marcio;
Nogueira, Idelfonso B. R..
(2024)
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network.
Heliyon
Academic article
-
Rodrigues, Bruno;
Viena Santana, Vinicius;
Queiroz, Luana P.;
de Menezes Rebello, Carine;
Nogueira, Idelfonso B. R..
(2024)
Harnessing graph neural networks to craft fragrances based on consumer feedback.
Computers and Chemical Engineering
Academic article
2023
-
Queiroz, Luana P.;
Rebello, Carine Menezes;
Almeida Costa, Erbet;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Nogueira, Idelfonso B. R..
(2023)
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements.
Industrial & Engineering Chemistry Research
Academic article
-
Lima, Fernando;
Rebello, Carine Menezes;
Almeida Costa, Erbet;
Santana, Vinicius;
Moares, Marcellus;
Barreto, Amaro;
Secchi, Argimiro R.;
Souza, Mauricio;
Nogueira, Idelfonso B. R..
(2023)
Improved modeling of crystallization processes by Universal Differential Equations.
Chemical engineering research & design
Academic article
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Viena Santana, Vinicius;
Nogueira, Idelfonso B. R..
(2023)
Physics-informed neural network uncertainty assessment through Bayesian inference.
IFAC-PapersOnLine
Academic article
-
Santana, Vinicius V.;
Almeida Costa, Erbet;
Rebello, Carine Menezes;
Ribeiro, Ana Mafalda;
Rackauckas, Christopher;
Nogueira, Idelfonso B. R..
(2023)
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach.
Chemical Engineering Science (CES)
Academic article
Journal publications
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
Offset-free Lyapunov-based stabilising robust nonlinear control using data-driven model: A nonlinear multi-model computationally efficient approach.
Control Engineering Practice
Academic article
-
Moreira, Lorena Claudia de Souza;
de Menezes Rebello, Carine;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
Augmented reality in architectural heritage preservation: a comprehensive digitization approach validated in Salvador’s Pelourinho district–Brazil.
Cogent Arts & Humanities
Academic article
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
RTO and advanced process control for electric submersible pumps using surrogate models.
Journal of Process Control
Academic article
-
de Menezes Rebello, Carine;
Caprio, Ulderico Di;
Steen-Hansen, Jenny;
Rodrigues, Bruno;
Almeida Costa, Erbet;
Santos, Anderson Rapello dos;
Esposito, Flora;
Leblebici, Mumin Enis;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
ExPUFFIN: Thermodynamic consistent viscosity prediction in an Extended Path-Unifying Feed-Forward Interfaced Network.
Chemical Engineering Journal Advances
Academic article
-
Almeida Costa, Erbet;
Abreu, Odilon Santana Luiz de;
Reges, Galdir;
de Menezes Rebello, Carine;
Fontana, Marcio;
Ribeiro, Marcos Pellegrini;
Nogueira, Idelfonso B. R.;
Schnitman, Leizer.
(2025)
Standard MPC and Inputs-Target MPC implementation comparison in ESP systems.
IFAC-PapersOnLine
Academic article
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Abreu, Odilon Santana Luiz De;
Reges, Galdir;
Viena Santana, Vinicius;
Mendes, Tefilo Paiva Guimares;
Fontana, Marcio;
Bacellar, Francisco Raphael Ribeiro;
Ribeiro, Marcos Pellegrini;
Foresti, Bernardo Pereira.
(2025)
Application of Recurrent Neural Networks for Predictive Modeling of Electrical Submersible Pumps in Oil Extraction.
IFAC-PapersOnLine
Academic article
-
de Menezes Rebello, Carine;
Jäschke, Johannes Ernst Peter;
Nogueira, Idelfonso B. R..
(2025)
Digital Twin for Autonomous Decision-Making in Gas Lift Operations: Improving Reliability and Adaptability.
IFAC-PapersOnLine
Academic article
-
Santana, Vinicius;
Rebello, Carine Menezes;
Queiroz, Luana P.;
Ribeiro, Ana Mafalda;
Shardt, Nadia;
Nogueira, Idelfonso B. R..
(2024)
PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction.
Chemical Engineering Science (CES)
Academic article
-
Almeida Costa, Erbet;
Rebello, Carine Menezes;
Schnitman, Leizer;
Loureiro, José Miguel;
Ribeiro, Ana Mafalda;
Nogueira, Idelfonso B. R..
(2024)
Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance.
Engineering Applications of Artificial Intelligence
Academic article
-
de Menezes Rebello, Carine;
Deiró, Gabriela Fontes;
Knuutila, Hanna Katariina;
Moreira, Lorena Claudia de Souza;
Nogueira, Idelfonso B. R..
(2024)
Augmented reality for chemical engineering education.
Education for Chemical Engineers
Academic article
-
Moreira, Lorena Claudia de Souza;
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Ribeiro, Lucília S.;
Nogueira, Idelfonso B. R..
(2024)
Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin.
Applied Sciences
Academic literature review
-
Arrais Romero Dias Lima, Fernando;
Moraes, Marcellus G.F. de;
de Menezes Rebello, Carine;
Barreto, Amaro G.;
Secchi, Argimiro R.;
Souza, Maurício B. de;
Nogueira, Idelfonso B. R..
(2025)
Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization.
Chemical Engineering and Processing
Academic article
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Vides, Fredy;
Nogueira, Idelfonso B. R..
(2024)
Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization.
Canadian Journal of Chemical Engineering
Academic article
-
de Menezes Rebello, Carine;
Nogueira, Idelfonso B. R..
(2024)
Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making.
Separation and Purification Technology
Academic article
-
Queiroz, Luana P.;
Rebello, Carine Menezes;
Almeida Costa, Erbet;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Nogueira, Idelfonso B. R..
(2023)
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements.
Industrial & Engineering Chemistry Research
Academic article
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Fontana, Marcio;
Schnitman, Leizer;
Nogueira, Idelfonso B. R..
(2024)
Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype.
Industrial & Engineering Chemistry Research
Academic article
-
Lima, Fernando;
Rebello, Carine Menezes;
Almeida Costa, Erbet;
Santana, Vinicius;
Moares, Marcellus;
Barreto, Amaro;
Secchi, Argimiro R.;
Souza, Mauricio;
Nogueira, Idelfonso B. R..
(2023)
Improved modeling of crystallization processes by Universal Differential Equations.
Chemical engineering research & design
Academic article
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Viena Santana, Vinicius;
Nogueira, Idelfonso B. R..
(2023)
Physics-informed neural network uncertainty assessment through Bayesian inference.
IFAC-PapersOnLine
Academic article
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Viena Santana, Vinicius;
Nogueira, Idelfonso B. R..
(2024)
Machine learning multi-step-ahead modelling with uncertainty assessment.
IFAC-PapersOnLine
Academic article
-
Voltolini, Leonardo;
Arrais Romero Dias Lima, Fernando;
de Menezes Rebello, Carine;
Itabaiana, Ivaldo;
Nogueira, Idelfonso B. R.;
Secchi, Argimiro Resende;
Souza, Maurício B. de.
(2025)
Machine learning framework to predict product distribution of lignocellulosic biomass pyrolysis.
Bioresource Technology
Academic article
-
Santana, Vinicius V.;
Almeida Costa, Erbet;
Rebello, Carine Menezes;
Ribeiro, Ana Mafalda;
Rackauckas, Christopher;
Nogueira, Idelfonso B. R..
(2023)
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach.
Chemical Engineering Science (CES)
Academic article
-
Almeida Costa, Erbet;
Rebello, Carine Menezes;
Viena Santana, Vinicius;
Reges, Galdir;
Silva, Tiago de Oliveira;
Abreu, Odilon Santana Luiz de;
Ribeiro, Marcos Pellegrini;
Foresti, Bernardo Pereira;
Fontana, Marcio;
Nogueira, Idelfonso B. R..
(2024)
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network.
Heliyon
Academic article
-
Rodrigues, Bruno;
Viena Santana, Vinicius;
Queiroz, Luana P.;
de Menezes Rebello, Carine;
Nogueira, Idelfonso B. R..
(2024)
Harnessing graph neural networks to craft fragrances based on consumer feedback.
Computers and Chemical Engineering
Academic article
-
de Menezes Rebello, Carine;
Nogueira, Idelfonso B. R..
(2025)
Digital twins in chemical engineering: An integrated framework for identification, implementation, online learning, and uncertainty assessment.
Computers and Chemical Engineering
Academic article
Student thesis or dissertation
-
de Menezes Rebello, Carine;
Nogueira, Idelfonso B. R..
(2026)
Data-Driven and Hybrid Modelling for Optimisation, Control, and Digital Twins in Chemical Engineering Challenges.
NTNU Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
Teaching
Supervision
Regarding 2023 to 2025:
- Jenny Steen - Hansen (Co-Supervisor);
- Ane-Kristine Kjølner (Co-Supervisor);
- Pelle Thomsen (CO-Supervisor).
Outreach
2025
-
Conference lectureMoreira, Lorena Claudia de Souza; de Menezes Rebello, Carine; Knuutila, Hanna Katariina; Bessa Dos Reis Nogueira, Idelfonso. (2025) Enhancing Chemical Engineering Education through Augmented Reality Applications. Læringsfestivalen