Idelfonso Nogueira
73592399
Kjemi 4, 232, Gløshaugen
Om
Forskning
Jeg søker å fremme synergier mellom nye teknologier og klassiske strategier for å utvikle innovative løsninger for å møte det moderne samfunnets utfordringer, med fokus på å forene kunstig intelligens, avansert kontroll, systemoptimalisering, digitalisering og automatisering. Forskningen min har fire hovedgrener som jobber sammen for å fremme en ny og bærekraftig industri. Synergien mellom disse grenene kaller jeg AiP2S2 (Artificial Intelligence-powered Products, Processes, Scales and Systems). Jeg kan kort liste dem opp som følgende:
- Utvikle produkter: Denne grenen søker å utvikle nye produkter ved hjelp av Process Systems Engineering-perspektivet. Hovedspørsmålet er: Hvordan kan kunstig intelligens og kontrollteori brukes til å lete etter nye produktløsninger som aldri er sett før?
- Drift av prosesser: Denne grenen tar opp to hovedspørsmål. Den første er: Hvordan kan kunstig intelligens utvikles på en fortolkbar, robust og pålitelig måte for å hjelpe Process System Engineering i et industri 4.0/5.0-scenario? Det andre spørsmålet er: Hvordan kan vi kombinere systemkontroll, optimalisering og kunstig intelligens og samtidig garantere stabilitet, robusthet og stabil integrasjon?
- Bygge bro mellom skalaer: Denne grenen utvikler en ny måte å observere systemet på - en måte å betrakte fenomenene og prosessen i samme ramme. Dermed er hovedspørsmålet her: Hvordan integrere prosessenes fundamentale-, design- og driftsskalaer for å optimalisere og kontrollere begge samtidig?
- Koble sammen systemer: Vi lever i et dynamisk samfunn som krever løsninger på sine utfordringer. Hvordan kan industrien raskt tilpasse seg disse utfordringene? Dette er spørsmålet vi ønsker å løse i denne grenen.
Jeg ser på flerfaglighet og samarbeid med andre felt og perspektiver som avgjørende for å utvikle disse forskningsgrenene. På denne måten samarbeider jeg med flere universiteter, institutter og industrier over hele verden. Videre jobber jeg også med å fremme innovative undervisningsaktiviteter for å forberede fremtidige ingeniører til å møte industri 4.0/5.0-utfordringene.
Publikasjoner
2024
-
Mendes, Teófilo Paiva Guimarães;
Ribeiro, Ana Mafalda;
Schnitman, Leizer;
B. R. Nogueira, Idelfonso.
(2024)
A PLC-Embedded Implementation of a Modified Takagi–Sugeno–Kang-Based MPC to Control a Pressure Swing Adsorption Process.
Processes
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Optimizing CO<inf>2</inf> 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
-
Santana, Vinícius V.;
Carmo, Paulo;
Seabra, Rute;
Rodrigues, Alírio E.;
Ribeiro, Ana Mafalda;
B. R. Nogueira, Idelfonso.
(2024)
Ethylene Purification by Pressure Swing Adsorption with the Paraffin Selective Metal-Organic Framework─DUT-8.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Santana, Vinicius;
Rebello, Carine Menezes;
Queiroz, Luana P.;
Ribeiro, Ana Mafalda;
Shardt, Nadia;
B. R. Nogueira, Idelfonso.
(2024)
PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction.
Chemical Engineering Science (CES)
Vitenskapelig artikkel
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Schnitman, Leizer;
Loureiro, José M.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(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;
B. R. Nogueira, Idelfonso.
(2024)
Augmented reality for chemical engineering education.
Education for Chemical Engineers
Vitenskapelig artikkel
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Santana, Vinicius;
Reges, Galdir;
de Oliveira Silva, Tiago;
Santana Luiz de Abreu, Odilon.
(2024)
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network.
Heliyon
Vitenskapelig artikkel
-
Lim, Myung Kyun;
Yun, Ji Sub;
Cho, Kyung Ho;
Yoon, Ji Woong;
Lee, U-Hwang;
Ferreira, Alexandre.
(2024)
Multi-objective optimization of ANN-based vacuum pressure swing adsorption process for ethane and ethylene separation.
Journal of Industrial and Engineering Chemistry
Vitenskapelig artikkel
-
Prudente, Anderson N.;
Santos, Rodrigo V.A.;
Ribeiro, Ana M.;
Pontes, Karen V.;
B. R. Nogueira, Idelfonso.
(2024)
An integrated approach for parameter estimation of a propyl propionate synthesis model.
Chemical engineering research & design
Vitenskapelig artikkel
-
Rodrigues, Bruno C.L.;
Santana, Vinicius Viena;
Queiroz, Luana P.;
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Harnessing graph neural networks to craft fragrances based on consumer feedback.
Computers and Chemical Engineering
Vitenskapelig artikkel
-
Rodrigues, Bruno;
Santana, Vinicius Viena;
Murins, Sandris;
B. R. Nogueira, Idelfonso.
(2024)
Molecule Generation and Optimization for Efficient Fragrance Creation.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Queiroz, L.P.;
B. R. Nogueira, Idelfonso;
Ribeiro, A.M..
(2024)
Flavor Engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics.
Food Research International
Vitenskapelig oversiktsartikkel/review
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Vides, Fredy;
B. R. Nogueira, Idelfonso.
(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
-
Ito Iwakiri, Igor Gabriel;
Delgado, Nuno M.;
B. R. Nogueira, Idelfonso.
(2024)
Introducing a new model for solid-state batteries: Parameter estimation and sensitivity analysis on diffusion, concentration, and electrochemical kinetics.
Electrochimica Acta
Vitenskapelig artikkel
2023
-
Sánchez, Antonio Santos;
Junior, Euripedes Pontes;
Gontijo, Bernardo Machado;
de Jong, Pieter;
B. R. Nogueira, Idelfonso.
(2023)
Replacing fossil fuels with renewable energy in islands of high ecological value: The cases of Galápagos, Fernando de Noronha, and Príncipe.
Renewable and Sustainable Energy Reviews
Vitenskapelig oversiktsartikkel/review
-
Costa, Erbet Almeida;
Rebello, Carine de Menezes;
Fontana, Márcio;
Schnitman, Leizer;
B. R. Nogueira, Idelfonso.
(2023)
A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models.
Mathematics
Vitenskapelig artikkel
-
Yun, Ji Sub;
Cho, Kyung Ho;
Lim, Myung Kyun;
Yoon, Ji Woong;
Ferreira, Alexandre;
Ribeiro, Ana Mafalda.
(2023)
Process modeling and optimization of vacuum pressure swing adsorption for ethane and ethylene separation using Cu(Qc)<inf>2</inf> MOF.
Separation and Purification Technology
Vitenskapelig artikkel
-
Silva, Beatriz C.;
Rebello, Carine Menezes;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Ferreira, Alexandre F. P.;
B. R. Nogueira, Idelfonso.
(2023)
Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps.
ACS Omega
Vitenskapelig artikkel
-
Queiroz, Luana P.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
A Reinforcement Learning Framework to Discover Natural Flavor Molecules.
Foods
Vitenskapelig artikkel
-
Queiroz, Luana P.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
Generating Flavor Molecules Using Scientific Machine Learning.
ACS Omega
Vitenskapelig artikkel
-
Martins, Márcio A.F.;
Rodrigues, Alírio E.;
Loureiro, José M.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(2023)
Handling model uncertainty in control of a pressure swing adsorption unit for syngas purification: A multi-model zone control scheme-based robust model predictive control strategy.
Separation and Purification Technology
Vitenskapelig artikkel
-
Queiroz, Luana P.;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
de Souza Gama, Marlon;
Lima, Fernando Arrais Romero Dias;
Santana, Vinícius Viena;
B. R. Nogueira, Idelfonso;
Tavares, Frederico Wanderley;
Barreto Júnior, Amaro Gomes.
(2023)
A parallel hybrid model for integrating protein adsorption models with deep neural networks.
Adsorption
Vitenskapelig artikkel
-
Oliveira, Luis M.C.;
Santana, Vinícius V.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(2023)
A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning.
Heliyon
Vitenskapelig artikkel
-
Lima, Fernando;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinicius;
Moares, Marcellus;
Barreto, Amaro.
(2023)
Improved modeling of crystallization processes by Universal Differential Equations
.
Chemical engineering research & design
Vitenskapelig artikkel
-
Santana, Vinicius V.;
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Ribeiro, Ana Mafalda;
Rackauckas, Christopher;
B. R. Nogueira, Idelfonso.
(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
-
Santos, Rodrigo V. A.;
Rebello, Carine;
Prudente, Anderson;
Santana, Vinicius V.;
Ferreira, Alexandre F. P.;
Ribeiro, Ana M..
(2023)
Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
2022
-
Santana, Vinícius V.;
Martins, Márcio A. F.;
Loureiro, José M.;
Ribeiro, Ana M.;
Queiroz, Luana P.;
Rebello, Carine M..
(2022)
Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee.
ACS Omega
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Mendes, Teófilo Paiva Guimarães;
Ribeiro, Ana Mafalda;
Schnitman, Leizer;
B. R. Nogueira, Idelfonso.
(2024)
A PLC-Embedded Implementation of a Modified Takagi–Sugeno–Kang-Based MPC to Control a Pressure Swing Adsorption Process.
Processes
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Optimizing CO<inf>2</inf> 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
-
Santana, Vinícius V.;
Carmo, Paulo;
Seabra, Rute;
Rodrigues, Alírio E.;
Ribeiro, Ana Mafalda;
B. R. Nogueira, Idelfonso.
(2024)
Ethylene Purification by Pressure Swing Adsorption with the Paraffin Selective Metal-Organic Framework─DUT-8.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Santana, Vinicius;
Rebello, Carine Menezes;
Queiroz, Luana P.;
Ribeiro, Ana Mafalda;
Shardt, Nadia;
B. R. Nogueira, Idelfonso.
(2024)
PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction.
Chemical Engineering Science (CES)
Vitenskapelig artikkel
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Schnitman, Leizer;
Loureiro, José M.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(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;
B. R. Nogueira, Idelfonso.
(2024)
Augmented reality for chemical engineering education.
Education for Chemical Engineers
Vitenskapelig artikkel
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Santana, Vinicius;
Reges, Galdir;
de Oliveira Silva, Tiago;
Santana Luiz de Abreu, Odilon.
(2024)
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network.
Heliyon
Vitenskapelig artikkel
-
Lim, Myung Kyun;
Yun, Ji Sub;
Cho, Kyung Ho;
Yoon, Ji Woong;
Lee, U-Hwang;
Ferreira, Alexandre.
(2024)
Multi-objective optimization of ANN-based vacuum pressure swing adsorption process for ethane and ethylene separation.
Journal of Industrial and Engineering Chemistry
Vitenskapelig artikkel
-
Prudente, Anderson N.;
Santos, Rodrigo V.A.;
Ribeiro, Ana M.;
Pontes, Karen V.;
B. R. Nogueira, Idelfonso.
(2024)
An integrated approach for parameter estimation of a propyl propionate synthesis model.
Chemical engineering research & design
Vitenskapelig artikkel
-
Rodrigues, Bruno C.L.;
Santana, Vinicius Viena;
Queiroz, Luana P.;
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Harnessing graph neural networks to craft fragrances based on consumer feedback.
Computers and Chemical Engineering
Vitenskapelig artikkel
-
Rodrigues, Bruno;
Santana, Vinicius Viena;
Murins, Sandris;
B. R. Nogueira, Idelfonso.
(2024)
Molecule Generation and Optimization for Efficient Fragrance Creation.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Queiroz, L.P.;
B. R. Nogueira, Idelfonso;
Ribeiro, A.M..
(2024)
Flavor Engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics.
Food Research International
Vitenskapelig oversiktsartikkel/review
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Vides, Fredy;
B. R. Nogueira, Idelfonso.
(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
-
Ito Iwakiri, Igor Gabriel;
Delgado, Nuno M.;
B. R. Nogueira, Idelfonso.
(2024)
Introducing a new model for solid-state batteries: Parameter estimation and sensitivity analysis on diffusion, concentration, and electrochemical kinetics.
Electrochimica Acta
Vitenskapelig artikkel
-
Sánchez, Antonio Santos;
Junior, Euripedes Pontes;
Gontijo, Bernardo Machado;
de Jong, Pieter;
B. R. Nogueira, Idelfonso.
(2023)
Replacing fossil fuels with renewable energy in islands of high ecological value: The cases of Galápagos, Fernando de Noronha, and Príncipe.
Renewable and Sustainable Energy Reviews
Vitenskapelig oversiktsartikkel/review
-
Costa, Erbet Almeida;
Rebello, Carine de Menezes;
Fontana, Márcio;
Schnitman, Leizer;
B. R. Nogueira, Idelfonso.
(2023)
A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models.
Mathematics
Vitenskapelig artikkel
-
Yun, Ji Sub;
Cho, Kyung Ho;
Lim, Myung Kyun;
Yoon, Ji Woong;
Ferreira, Alexandre;
Ribeiro, Ana Mafalda.
(2023)
Process modeling and optimization of vacuum pressure swing adsorption for ethane and ethylene separation using Cu(Qc)<inf>2</inf> MOF.
Separation and Purification Technology
Vitenskapelig artikkel
-
Silva, Beatriz C.;
Rebello, Carine Menezes;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Ferreira, Alexandre F. P.;
B. R. Nogueira, Idelfonso.
(2023)
Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps.
ACS Omega
Vitenskapelig artikkel
-
Queiroz, Luana P.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
A Reinforcement Learning Framework to Discover Natural Flavor Molecules.
Foods
Vitenskapelig artikkel
-
Queiroz, Luana P.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
Generating Flavor Molecules Using Scientific Machine Learning.
ACS Omega
Vitenskapelig artikkel
-
Martins, Márcio A.F.;
Rodrigues, Alírio E.;
Loureiro, José M.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(2023)
Handling model uncertainty in control of a pressure swing adsorption unit for syngas purification: A multi-model zone control scheme-based robust model predictive control strategy.
Separation and Purification Technology
Vitenskapelig artikkel
-
Queiroz, Luana P.;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
de Souza Gama, Marlon;
Lima, Fernando Arrais Romero Dias;
Santana, Vinícius Viena;
B. R. Nogueira, Idelfonso;
Tavares, Frederico Wanderley;
Barreto Júnior, Amaro Gomes.
(2023)
A parallel hybrid model for integrating protein adsorption models with deep neural networks.
Adsorption
Vitenskapelig artikkel
-
Oliveira, Luis M.C.;
Santana, Vinícius V.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(2023)
A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning.
Heliyon
Vitenskapelig artikkel
-
Lima, Fernando;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinicius;
Moares, Marcellus;
Barreto, Amaro.
(2023)
Improved modeling of crystallization processes by Universal Differential Equations
.
Chemical engineering research & design
Vitenskapelig artikkel
-
Santana, Vinicius V.;
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Ribeiro, Ana Mafalda;
Rackauckas, Christopher;
B. R. Nogueira, Idelfonso.
(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
-
Santos, Rodrigo V. A.;
Rebello, Carine;
Prudente, Anderson;
Santana, Vinicius V.;
Ferreira, Alexandre F. P.;
Ribeiro, Ana M..
(2023)
Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Santana, Vinícius V.;
Martins, Márcio A. F.;
Loureiro, José M.;
Ribeiro, Ana M.;
Queiroz, Luana P.;
Rebello, Carine M..
(2022)
Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee.
ACS Omega
Vitenskapelig artikkel