Carine de Menezes Rebello
Om
Jeg arbeider i skjæringspunktet mellom prosessteknikk, optimalisering, maskinlæring og regulering, med et sterkt fokus på anvendelser innen den kjemiske prosessindustrien.
Mine forskningsaktiviteter omfatter blant annet følgende temaer:
-
Prosessteknikk og optimalisering av kontinuerlige og batch-prosesser;
-
Multiobjektiv og robust optimalisering, med vekt på å kartlegge mulige driftsområder og støtte beslutningstaking i industrielle systemer;
-
Vitenskapelig maskinlæring og hybride modeller (fenomenologiske modeller kombinert med kunstig intelligens) for ulike prosesser;
-
Utvikling av digitale tvillinger og cyber-fysiske systemer med online læring, usikkerhetsvurdering og autonome beslutningskapasiteter;
-
Anvendelse av dyp læring, grafnevrale nettverk og transfer learning på ikke-konvensjonelle problemstillinger som duftdesign, oppdagelse av molekyler og prediksjon av fysikalsk-kjemiske egenskaper;
-
Bruk av utvidet virkelighet i kjemiteknisk utdanning og i bredere sammenhenger knyttet til digital transformasjon og prosessvisualisering.
Disse temaene er tett knyttet til visjonen om Industri 5.0, der avanserte digitale teknologier kombineres med menneskelig ekspertise for å skape mer robuste, intelligente og effektive systemer.
Publikasjoner
Jeg har publisert over 40 artikler, som har mottatt 700 siteringer, med en h-indeks på 18 (kilde: Google Scholar).
Utvalg av publikasjoner:
2026
-
Pessoa, Robson Wilson Silva;
Naess, Marie Hahn;
Bijos, Julia Carolina;
de Menezes Rebello, Carine;
Colombo, Danilo;
Schnitman, Leizer;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
An Agent-Based Modeling Dynamic Hybrid Model for Project Management in Research and Development.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Viena Santana, Vinicius;
de Menezes Rebello, Carine;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
Simultaneous material selection and process optimisation for multi-material PSA beds applied to post-combustion CO<inf>2</inf>capture — When does adsorbent layering help?.
Chemical engineering research & design
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Nogueira, Idelfonso B. R.;
Knuutila, Hanna Katariina.
(2026)
Data-Driven and Hybrid Modelling for Optimisation, Control, and Digital Twins in Chemical Engineering Challenges.
Norges teknisk-naturvitenskapelige universitet
Doktoravhandling
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
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)
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig oversiktsartikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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)
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Pessoa, Robson Wilson Silva;
Naess, Marie Hahn;
Bijos, Julia Carolina;
de Menezes Rebello, Carine;
Colombo, Danilo;
Schnitman, Leizer;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
An Agent-Based Modeling Dynamic Hybrid Model for Project Management in Research and Development.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Viena Santana, Vinicius;
de Menezes Rebello, Carine;
Bessa Dos Reis Nogueira, Idelfonso.
(2026)
Simultaneous material selection and process optimisation for multi-material PSA beds applied to post-combustion CO<inf>2</inf>capture — When does adsorbent layering help?.
Chemical engineering research & design
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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)
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig oversiktsartikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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)
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
Studentoppgave eller avhandling
-
de Menezes Rebello, Carine;
Nogueira, Idelfonso B. R.;
Knuutila, Hanna Katariina.
(2026)
Data-Driven and Hybrid Modelling for Optimisation, Control, and Digital Twins in Chemical Engineering Challenges.
Norges teknisk-naturvitenskapelige universitet
Doktoravhandling
Undervisning
Veiledning
Når det gjelder perioden 2023 til 2025:
Jenny Steen-Hansen (medveileder);
Ane-Kristine Kjølner (medveileder);
Pelle Thomsen (medveileder).
Formidling
2025
-
KonferanseforedragMoreira, 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