Idelfonso Nogueira

About

Research

I seek to promote synergy between new technologies and classical strategies for developing disruptive solutions to face modern society's challenges, focusing on merging artificial intelligence, advanced control, systems optimization, digitalization and automation. My research has four main branches working together to promote a new and sustainable industry. I call the synergy between these branches, AiP₂S₂ (Artificial Intelligence-powered Products, Processes, Scales and Systems). I can briefly list them as follows:

Developing products: This branch seeks to develop new products using the Process Systems Engineering perspective. The main question is: How can Artificial Intelligence and Control theory be used to prospect new product solutions never seen before?
Operating processes: This branch addresses two main questions. The first one is: How can Artificial Intelligence be developed in an interpretable, robust and reliable way to help Process System Engineering in an Industry 4.0/5.0 scenario? The second question is: How can we combine Systems Control, Optimization and Artificial Intelligence while guaranteeing stability, robustness and stable integration?
Bridging scales: This branch develops a new way to observe the system—a way to consider the phenomena and the process in the same frame. Thus, the main question here is: How to integrate the processes' fundamental, design and operating scales to optimize and control both simultaneously?
Connecting systems: We live in a dynamic society that requires solutions for its challenges in time. How can the industry quickly adapt to face these challenges? This is the question that we want to solve at this branch.

I see multidisciplinarity and collaboration with other fields and perspectives as essential to developing these research branches. In this way, I m collaborating with several universities, institutes and industries worldwide. Furthermore, I am also pursuing the promotion of innovative teaching activities to prepare future engineers to face the Industry 4.0/5.0 challenges.

Educational background

2018 - Ph.D. in Chemical and Biological Engineering Faculty of Engineering, Department of Chemical Engineering, University of Porto, Portugal.
2016-2018 - Visiting Ph.D. researcher, Tampere University of Technology, Department of Automation Science and Engineering, Finland.
2016 - Master in Industrial Engineering, Postgraduation Program in Industrial Engineering, Federal University of Bahia, Brazil.
2012 - Master in Chemical, Engineering Faculty of Engineering, Department of Chemical Engineering, University of Porto, Portugal.

Publications

2026

de Pinho Queiroz, Luana; Souza Lima, Patrick; Pessoa, Robson Wilson Silva; Martens, Harald; Nogueira, Idelfonso B. R.; Ribeiro, A. M.. (2026) Chemometrics for flavor science: Mapping structure–perception relationships using PCA and Fuzzy C-Means. Digital Chemical Engineering
Academic article
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
Arrais Romero Dias Lima, Fernando; Almeida Costa, Erbet; Leblebici, Mumin Enis; Secchi, Argimiro Resende; Souza, Maurício B. de; Bessa Dos Reis Nogueira, Idelfonso. (2026) Symbolic Regression-Based Robust Control of Batch Crystallization: Design and PLC Implementation. Industrial & Engineering Chemistry Research
Academic article
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
Amaral, Guilherme C.; Rios, Albertina G.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Rodrigues, Diogo; Bessa Dos Reis Nogueira, Idelfonso; Ferreira, Alexandre F.P.. (2026) Parameter estimation of a size-exclusion simulated moving bed for protein purification via meta-heuristic methods with estimability analysis and uncertainty evaluation. Chemical Engineering Science (CES)
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
Almeida Costa, Erbet; Skogestad, Sigurd; Bessa Dos Reis Nogueira, Idelfonso. (2026) MAASC — Multi-Agentic Architecture Specialised for Control. Journal of Process Control
Academic article
de Pinho Queiroz, Luana; Pessoa, Robson Wilson Silva; Caldas, Alcides S.; Ribeiro, Ronilda Iyakemi; Ribeiro, Ana Mafalda; Strlic, Matija; Bembibre, Cecilia; Bessa Dos Reis Nogueira, Idelfonso. (2026) Bahia’s Dendê and the Forgotten Knowledge: Cultural Heritage, Sustainability, and the Marginalization of Afro-Brazilian Traditions. Heritage
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
Arrais Romero Dias Lima, Fernando; Abdelrehim, Anas; Bharambe, Ashutosh; Micluţa-Câmpeanu, Marius; Gandhi, Dhairya; Singhvi, Anshul; Bhat, Venkateshprasad; Piibeleht, Morten; Secchi, Argimiro R.; Souza, Maurício B.de. (2026) Improving process systems engineering with specialized multi-agent large language models. Chemical Engineering Journal Advances
Academic article
Arrais Romero Dias Lima, Fernando; Moraes, Marcellus G.F. de; Leblebici, M. Enis; Secchi, Argimiro R.; Souza, Maurício B. de; Nogueira, Idelfonso B. R.. (2026) A robust framework based on symbolic regression to develop controllers for crystallization processes. Journal of Process Control
Academic article
Arrais Romero Dias Lima, Fernando; Nogueira, Idelfonso B. R.; Secchi, Argimiro Resende; Jr., Mauricio Bezerra de Souza; Leblebici, Mumin Enis. (2026) Machine Learning-Enhanced Process Systems Engineering for Modeling, Monitoring, and Control with Applications to Crystallization Processes. Norges teknisk-naturvitenskapelige universitet
Doctoral thesis

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
Lima, Fernando Arrais R.D.; Faria, Ruan R.; Moraes, Marcellus G.F. de; Secchi, Argimiro R.; Nogueira, Idelfonso B. R.; Souza, Maurício B. de. (2025) Controlling Paracetamol Batch Crystallization in Ethanol by Reinforcement Learning. 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
Rodrigues, Bruno; de Pinho Queiroz, Luana; Fleming, Bernardo; Vieira, Noemi J.; Ribeiro, Ronilda Iyakemi; Caldas, Alcides S.; Leblebici, Mumin Enis; Strlic, Matija; Bessa Dos Reis Nogueira, Idelfonso. (2025) Tracing Yoruba Heritage in Brazil Through Olfactory Landscapes: A Sensory Approach to Cultural Heritage. Heritage
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
Boy, Onur Can; Nogueira, Idelfonso B. R.; Caprio, Ulderico Di; Leblebici, Mumin Enis. (2025) AI-aided process intensification of structures. Chemical Engineering and Processing
Academic literature review
Souza Lima, Patrick; Ferreira Bernardino, Lucas; Skogestad, Sigurd; Nogueira, Idelfonso B. R.. (2025) Comparative Analysis of Control Structures in Core Annular Flow Systems: A CFD Simulation Study. 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
Mendes, Teófilo Paiva Guimarães; Ribeiro, Ana Mafalda; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2024) A PLC-Embedded Implementation of a Modified Takagi–Sugeno–Kang-Based MPC to Control a Pressure Swing Adsorption Process. Processes
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
Rodrigues, Bruno; Viena Santana, Vinicius; Murins, Sandris; Nogueira, Idelfonso B. R.. (2024) Molecule Generation and Optimization for Efficient Fragrance Creation. 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
Ito Iwakiri, Igor Gabriel; Delgado, Nuno M.; Nogueira, Idelfonso B. R.. (2024) Introducing a new model for solid-state batteries: Parameter estimation and sensitivity analysis on diffusion, concentration, and electrochemical kinetics. Electrochimica Acta
Academic article
Queiroz, L.P.; Nogueira, Idelfonso B. R.; Ribeiro, A.M.. (2024) Flavor Engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics. Food Research International
Academic literature review
Santana, Vinícius V.; Carmo, Paulo; Seabra, Rute; Rodrigues, Alírio E.; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.; Yoon, Ji Woong; Cho, Kyung Ho; Yun, Ji Sub; Lee, U-Hwang. (2024) Ethylene Purification by Pressure Swing Adsorption with the Paraffin Selective Metal-Organic Framework─DUT-8. Industrial & Engineering Chemistry Research
Academic article
Almeida Costa, Erbet; Skogestad, Sigurd; Nogueira, Idelfonso B. R.. (2024) NC-SIMC: Neuro-Controller Simple Internal Model Control. 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
Sanchez, Antonio; Bessa Dos Reis Nogueira, Idelfonso. (2024) Nutrient recovery in wastewater treatment plants through biosolids and struvite precipitation: Case study in Panama City. Cleaner Water
Academic article
Souza Lima, Patrick; Almeida Costa, Erbet; Mendes, Teófilo Paiva Guimarães; Schnitman, Leizer; Skogestad, Sigurd; Bessa Dos Reis Nogueira, Idelfonso. (2024) Simple control structure for stabilizing Core Annular Flow operation in heavy oil transportation. Computers and Chemical Engineering
Academic article
Prudente, Anderson N.; Santos, Rodrigo V.A.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B. R.. (2024) An integrated approach for parameter estimation of a propyl propionate synthesis model. Chemical engineering research & design
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
Lim, Myung Kyun; Yun, Ji Sub; Cho, Kyung Ho; Yoon, Ji Woong; Lee, U-Hwang; Ferreira, Alexandre; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.; Park, Jaedeuk; Kim, Jin-Kuk. (2024) Multi-objective optimization of ANN-based vacuum pressure swing adsorption process for ethane and ethylene separation. Journal of Industrial and Engineering Chemistry
Academic article

2023

Silva, Beatriz C.; Rebello, Carine Menezes; Rodrigues, Alírio E.; Ribeiro, Ana M.; Ferreira, Alexandre F. P.; Nogueira, Idelfonso B. R.. (2023) Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps. ACS Omega
Academic article
Yun, Ji Sub; Cho, Kyung Ho; Lim, Myung Kyun; Yoon, Ji Woong; Ferreira, Alexandre; Ribeiro, Ana Mafalda; Carmo, Paulo; Nogueira, Idelfonso B. R.; Park, Yong-Ki; Park, Jaedeuk. (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
Academic article
Martins, Márcio A.F.; Rodrigues, Alírio E.; Loureiro, José M.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (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
Academic article
Oliveira, Luis M.C.; Santana, Vinícius V.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning. Heliyon
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
Santos, Rodrigo V. A.; Rebello, Carine; Prudente, Anderson; Santana, Vinicius V.; Ferreira, Alexandre F. P.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B. R.. (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
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
Sánchez, Antonio Santos; Junior, Euripedes Pontes; Gontijo, Bernardo Machado; Jong, Pieter de; Nogueira, Idelfonso B. R.. (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
Academic literature review
Queiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) Generating Flavor Molecules Using Scientific Machine Learning. ACS Omega
Academic article
Gama, Marlon de Souza; Lima, Fernando Arrais Romero Dias; Santana, Vinícius Viena; Nogueira, Idelfonso B. R.; Tavares, Frederico Wanderley; Júnior, Amaro Gomes Barreto. (2023) A parallel hybrid model for integrating protein adsorption models with deep neural networks. Adsorption
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
Costa, Erbet Almeida; Rebello, Carine de Menezes; Fontana, Márcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2023) A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models. Mathematics
Academic article
Queiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) A Reinforcement Learning Framework to Discover Natural Flavor Molecules. Foods
Academic article

2022

Santana, Vinícius V.; Martins, Márcio A. F.; Loureiro, José M.; Ribeiro, Ana M.; Queiroz, Luana P.; Rebello, Carine M.; Rodrigues, Alírio E.; Nogueira, Idelfonso B. R.. (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
Academic article

Journal publications

de Pinho Queiroz, Luana; Souza Lima, Patrick; Pessoa, Robson Wilson Silva; Martens, Harald; Nogueira, Idelfonso B. R.; Ribeiro, A. M.. (2026) Chemometrics for flavor science: Mapping structure–perception relationships using PCA and Fuzzy C-Means. Digital Chemical Engineering
Academic article
Arrais Romero Dias Lima, Fernando; Almeida Costa, Erbet; Leblebici, Mumin Enis; Secchi, Argimiro Resende; Souza, Maurício B. de; Bessa Dos Reis Nogueira, Idelfonso. (2026) Symbolic Regression-Based Robust Control of Batch Crystallization: Design and PLC Implementation. Industrial & Engineering Chemistry Research
Academic article
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
Amaral, Guilherme C.; Rios, Albertina G.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Rodrigues, Diogo; Bessa Dos Reis Nogueira, Idelfonso; Ferreira, Alexandre F.P.. (2026) Parameter estimation of a size-exclusion simulated moving bed for protein purification via meta-heuristic methods with estimability analysis and uncertainty evaluation. Chemical Engineering Science (CES)
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
Almeida Costa, Erbet; Skogestad, Sigurd; Bessa Dos Reis Nogueira, Idelfonso. (2026) MAASC — Multi-Agentic Architecture Specialised for Control. Journal of Process Control
Academic article
de Pinho Queiroz, Luana; Pessoa, Robson Wilson Silva; Caldas, Alcides S.; Ribeiro, Ronilda Iyakemi; Ribeiro, Ana Mafalda; Strlic, Matija; Bembibre, Cecilia; Bessa Dos Reis Nogueira, Idelfonso. (2026) Bahia’s Dendê and the Forgotten Knowledge: Cultural Heritage, Sustainability, and the Marginalization of Afro-Brazilian Traditions. Heritage
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
Arrais Romero Dias Lima, Fernando; Abdelrehim, Anas; Bharambe, Ashutosh; Micluţa-Câmpeanu, Marius; Gandhi, Dhairya; Singhvi, Anshul; Bhat, Venkateshprasad; Piibeleht, Morten; Secchi, Argimiro R.; Souza, Maurício B.de. (2026) Improving process systems engineering with specialized multi-agent large language models. Chemical Engineering Journal Advances
Academic article
Arrais Romero Dias Lima, Fernando; Moraes, Marcellus G.F. de; Leblebici, M. Enis; Secchi, Argimiro R.; Souza, Maurício B. de; Nogueira, Idelfonso B. R.. (2026) A robust framework based on symbolic regression to develop controllers for crystallization processes. Journal of Process Control
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
Lima, Fernando Arrais R.D.; Faria, Ruan R.; Moraes, Marcellus G.F. de; Secchi, Argimiro R.; Nogueira, Idelfonso B. R.; Souza, Maurício B. de. (2025) Controlling Paracetamol Batch Crystallization in Ethanol by Reinforcement Learning. 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
Rodrigues, Bruno; de Pinho Queiroz, Luana; Fleming, Bernardo; Vieira, Noemi J.; Ribeiro, Ronilda Iyakemi; Caldas, Alcides S.; Leblebici, Mumin Enis; Strlic, Matija; Bessa Dos Reis Nogueira, Idelfonso. (2025) Tracing Yoruba Heritage in Brazil Through Olfactory Landscapes: A Sensory Approach to Cultural Heritage. Heritage
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
Boy, Onur Can; Nogueira, Idelfonso B. R.; Caprio, Ulderico Di; Leblebici, Mumin Enis. (2025) AI-aided process intensification of structures. Chemical Engineering and Processing
Academic literature review
Souza Lima, Patrick; Ferreira Bernardino, Lucas; Skogestad, Sigurd; Nogueira, Idelfonso B. R.. (2025) Comparative Analysis of Control Structures in Core Annular Flow Systems: A CFD Simulation Study. IFAC-PapersOnLine
Academic article
Silva, Beatriz C.; Rebello, Carine Menezes; Rodrigues, Alírio E.; Ribeiro, Ana M.; Ferreira, Alexandre F. P.; Nogueira, Idelfonso B. R.. (2023) Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps. ACS Omega
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
Yun, Ji Sub; Cho, Kyung Ho; Lim, Myung Kyun; Yoon, Ji Woong; Ferreira, Alexandre; Ribeiro, Ana Mafalda; Carmo, Paulo; Nogueira, Idelfonso B. R.; Park, Yong-Ki; Park, Jaedeuk. (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
Academic article
Martins, Márcio A.F.; Rodrigues, Alírio E.; Loureiro, José M.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (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
Academic article
Mendes, Teófilo Paiva Guimarães; Ribeiro, Ana Mafalda; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2024) A PLC-Embedded Implementation of a Modified Takagi–Sugeno–Kang-Based MPC to Control a Pressure Swing Adsorption Process. Processes
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
Oliveira, Luis M.C.; Santana, Vinícius V.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning. Heliyon
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
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
Rodrigues, Bruno; Viena Santana, Vinicius; Murins, Sandris; Nogueira, Idelfonso B. R.. (2024) Molecule Generation and Optimization for Efficient Fragrance Creation. 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
Ito Iwakiri, Igor Gabriel; Delgado, Nuno M.; Nogueira, Idelfonso B. R.. (2024) Introducing a new model for solid-state batteries: Parameter estimation and sensitivity analysis on diffusion, concentration, and electrochemical kinetics. Electrochimica Acta
Academic article
Queiroz, L.P.; Nogueira, Idelfonso B. R.; Ribeiro, A.M.. (2024) Flavor Engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics. Food Research International
Academic literature review
Santana, Vinícius V.; Carmo, Paulo; Seabra, Rute; Rodrigues, Alírio E.; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.; Yoon, Ji Woong; Cho, Kyung Ho; Yun, Ji Sub; Lee, U-Hwang. (2024) Ethylene Purification by Pressure Swing Adsorption with the Paraffin Selective Metal-Organic Framework─DUT-8. Industrial & Engineering Chemistry Research
Academic article
Santos, Rodrigo V. A.; Rebello, Carine; Prudente, Anderson; Santana, Vinicius V.; Ferreira, Alexandre F. P.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B. R.. (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
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; Skogestad, Sigurd; Nogueira, Idelfonso B. R.. (2024) NC-SIMC: Neuro-Controller Simple Internal Model Control. IFAC-PapersOnLine
Academic article
Sánchez, Antonio Santos; Junior, Euripedes Pontes; Gontijo, Bernardo Machado; Jong, Pieter de; Nogueira, Idelfonso B. R.. (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
Academic literature review
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
Sanchez, Antonio; Bessa Dos Reis Nogueira, Idelfonso. (2024) Nutrient recovery in wastewater treatment plants through biosolids and struvite precipitation: Case study in Panama City. Cleaner Water
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, Vinícius V.; Martins, Márcio A. F.; Loureiro, José M.; Ribeiro, Ana M.; Queiroz, Luana P.; Rebello, Carine M.; Rodrigues, Alírio E.; Nogueira, Idelfonso B. R.. (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
Academic article
Souza Lima, Patrick; Almeida Costa, Erbet; Mendes, Teófilo Paiva Guimarães; Schnitman, Leizer; Skogestad, Sigurd; Bessa Dos Reis Nogueira, Idelfonso. (2024) Simple control structure for stabilizing Core Annular Flow operation in heavy oil transportation. Computers and Chemical Engineering
Academic article
Queiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) Generating Flavor Molecules Using Scientific Machine Learning. ACS Omega
Academic article
Gama, Marlon de Souza; Lima, Fernando Arrais Romero Dias; Santana, Vinícius Viena; Nogueira, Idelfonso B. R.; Tavares, Frederico Wanderley; Júnior, Amaro Gomes Barreto. (2023) A parallel hybrid model for integrating protein adsorption models with deep neural networks. Adsorption
Academic article
Prudente, Anderson N.; Santos, Rodrigo V.A.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B. R.. (2024) An integrated approach for parameter estimation of a propyl propionate synthesis model. Chemical engineering research & design
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
Lim, Myung Kyun; Yun, Ji Sub; Cho, Kyung Ho; Yoon, Ji Woong; Lee, U-Hwang; Ferreira, Alexandre; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.; Park, Jaedeuk; Kim, Jin-Kuk. (2024) Multi-objective optimization of ANN-based vacuum pressure swing adsorption process for ethane and ethylene separation. Journal of Industrial and Engineering Chemistry
Academic article
Costa, Erbet Almeida; Rebello, Carine de Menezes; Fontana, Márcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2023) A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models. Mathematics
Academic article
Queiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) A Reinforcement Learning Framework to Discover Natural Flavor Molecules. Foods
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
Arrais Romero Dias Lima, Fernando; Nogueira, Idelfonso B. R.; Secchi, Argimiro Resende; Jr., Mauricio Bezerra de Souza; Leblebici, Mumin Enis. (2026) Machine Learning-Enhanced Process Systems Engineering for Modeling, Monitoring, and Control with Applications to Crystallization Processes. Norges teknisk-naturvitenskapelige universitet
Doctoral thesis

Teaching

Courses

Outreach

2025

Conference lecture

Moreira, 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

Språkvelger

Idelfonso Nogueira