Publications

I have published 41 papers, ∼75% in Q1 Scimago rank and ∼16% in Q2 Scimago rank, having an h-index of 9. Among these publications, I am a correspondent author in 22, first author in 18, and lead author in 19 articles. Additionally, I have published two book chapters, one as lead author and the other as co-author. At the moment, I have five papers under review submitted in high-quality journals.

Publications

Book Chapter

Santos Sánchez, Antonio; João Regufe, Maria; Mafalda Ribeiro, Ana; B.R.Nogueira, Idelfonso. “Sustainable Energy Management of Institutional Buildings through Load Prediction Models: Review and Case Study”. In AI and Learning Systems - Industrial Applications and Future Directions. IntechOpen,2021. Published • 10.5772/intechopen.93425
Sánchez, Antonio Santos; Oliveira-Esquerre, Karla Patricia; dos Reis Nogueira,Idelfonso Bessa; de Jong, Pieter; Filho, Adelmo Aguiar. “Water Loss Management Through Smart Water Systems”. In Modeling and Optimization in Science and Technologies, 233-266. Springer International Publishing, 2020.10.1007/978-3-030-37794-6_12

Journal Article

Carine M. Rebello; Paulo H.M. Marrocos; Ebert Almeida Vinícius V. Santana; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira. Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning. Processes: https://doi.org/10.3390/pr10020250.
Paulo H.M. Marrocos; Igor, G.I. Iwakiri; Martins, Márcio A.F.; Rodrigues, Alírio E.; Loureiro, José M.; Ribeiro, Ana M.; Idelfonso B. R. Nogueira. A long short-term memory based Quasi-Virtual Analyzer for dynamic real-time soft sensing of a Simulated Moving Bed unit. Applied Soft Computing: https://doi.org/10.1016/j.asoc.2021.108318.
Carine M. Rebello; Márcio A. F. Martins; José M. Loureiro; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira. A novel standpoint of Pressure Swing Adsorption processes multi-objective optimization: An approach based on feasible operation region mapping. Chemical Engineering Research and Design: https://doi.org/10.1016/j.cherd.2021.12.047.
Rodrigo V. A. Santos; Karen V. Pontes; Idelfonso B. R. Nogueira. Enantiomers and Their Resolution. Encyclopedia: https://doi.org/10.3390/encyclopedia2010011.
Carine M. Rebello; Márcio A. F. Martins; Daniel D. Santana; José M. Loureiro; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira. From a Pareto Front to Pareto Regions: A Novel Standpoint for Multiobjective Optimization. Mathematics: https://doi.org/10.3390/math9243152.
Maria João Regufe; Vinícius V. Santana; Alexandre F.P. Ferreira; José M. Loureiro; Ana M. Ribeiro; Idelfonso B. R. Nogueira. A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries. Processes: https://doi.org/10.3390/pr9111939.
Luis M. C. Oliveira; Rafael Dias; Carine M. Rebello; Márcio A. F. Martins; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira. “Artificial Intelligence and Cyber-Physical Systems: A Review and Perspectives for the Future in the Chemical Industry”. AI (2021): https://doi.org/10.3390/ai2030027.
Carine M. Rebello; Márcio A. F. Martins; José M. Loureiro; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira. “From an Optimal Point to an Optimal Region: A Novel Methodology for Optimization of Multimodal Constrained Problems and a Novel Constrained Sliding Particle Swarm Optimization Strategy”. Mathematics 9 15 (2021): 1808-1808. https://doi.org/10.3390/math9151808.
A. F. Martins, Márcio; Rodrigues, Alírio E.; Loureiro, José M.; Ribeiro, Ana M.; B. R. Nogueira, Idelfonso. “Artificial Intelligence-oriented Economic Non-linear Model Predictive Control Applied to a Pressure Swing Adsorption Unit: syngas purification as a case study”. Separation and Purification Technology (2021): 119333. http://dx.doi.org/10.1016/j.seppur.2021.119333.
Rodrigo V. A. Santos; Anderson N. Prudente; Ana M. Ribeiro; Alírio E. Rodrigues; José M. Loureiro; Márcio A. F. Martins; Karen V. Pontes; Idelfonso B. R. Nogueira. “Global Approach for Simulated Moving Bed Model Identification: Design of Experiments, Uncertainty Evaluation, and Optimization Strategy Assessment”. Industrial & Engineering Chemistry Research (2021): https://doi.org/10.1021/acs.iecr.1c01276.
Alírio E. Rodrigues; Idelfonso Nogueira; Rui P. V. Faria. “Perfume and Flavor Engineering: A Chemical Engineering Perspective”. Molecules 26 11 (2021): 3095-3095. https://doi.org/10.3390/molecules26113095.
Santana, Vinícius V.; Martins, Márcio A.F.; Loureiro, José M.; Ribeiro, Ana M.; Rodrigues, Alírio E.; Nogueira, Idelfonso B.R.. “Optimal fragrances formulation using a deep learning neural network architecture: a novel systematic approach.”. Computers & Chemical Engineering (2021): 107344. http://dx.doi.org/10.1016/j.compchemeng.2021.107344.
Vinicius V. Santana; Márcio A. F. Martins; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro; Idelfonso B. R. Nogueira. “Abnormal Operation Tracking through Big-Data-Based Gram–Schmidt Orthogonalization: Production of n-Propyl Propionate in a Simulated Moving-Bed Reactor: A Case Study”. Industrial & Engineering Chemistry Research (2021): https://doi.org/10.1021/acs.iecr.1c00214.
Nogueira, Idelfonso. “Artificial Intelligence and Cyber-Physical Systems : A Short Review and Perspectives for the Future”. COJ Robotics & Artificial Intelligence (2021): Open Access - Published
Silva, M. P.; Ribeiro, A. M.; Silva, C. G.; Nogueira, I. B. R.; Cho, Kyung-Ho; Lee, U.-Hwang; Faria, J. L.; et al. “MIL-160(Al) MOF’s potential in adsorptive water harvesting”. Adsorption (2021): http://dx.doi.org/10.1007/s10450-020-00286-5.
Matos, Joana; Faria, Rui P.V.; Loureiro, José M.; Ribeiro, Ana M.; Nogueira, Idelfonso B.R.. “Design and Optimization for Simulated Moving Bed: Varicol Approach”. IFAC-PapersOnLine 54 3 (2021): 542-547. http://dx.doi.org/10.1016/j.ifacol.2021.08.298.
Matos, Joana; Faria, Rui P.V.; Loureiro, José M.; Ribeiro, Ana M.; Nogueira, Idelfonso B.R.. “Optimal Design of SMB Units: A Novel Strategy Based on Particles Swarm Optimization”. IFAC-PapersOnLine 54 3 (2021): 548-553. http://dx.doi.org/10.1016/j.ifacol.2021.08.299.
Oliveira, Paulo H.M.; Martins, Márcio A.F.; Rodrigues, Alírio E.; Loureiro, José M.;Ribeiro, Ana M.; Nogueira, Idelfonso B.R.. “A Robust Model Predictive Controller applied to a Pressure Swing Adsorption Process: An Analysis Based on a LinearModel Mismatch”. IFAC-PapersOnLine 54 3 (2021): 219-224. http://dx.doi.org/10.1016/j.ifacol.2021.08.245.10.1016/j.ifacol.2021.08.24513
Regufe, Maria João; Santana, Vinícius V.; Martins, Márcio M.; Ferreira, AlexandreF.P.; Loureiro, José M.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B.R.. “Adsorption material composition and process optimization, a systematical approach based on Deep Learning”. IFAC-PapersOnLine 54 3(2021): 43-48. http://dx.doi.org/10.1016/j.ifacol.2021.08.216.10.1016/j.ifacol.2021.08.21614
Oliveira, Luís Miguel Cunha; Koivisto, Hannu; Iwakiri, Igor G.I.; Loureiro, José M.;Ribeiro, Ana M.; Nogueira, Idelfonso B.R.. “Modelling of a pressure swing adsorption unit by deep learning and artificial Intelligence tools”. ChemicalEngineering Science 224 (2020): 115801. http://dx.doi.org/10.1016/j.ces.2020.115801.10.1016/j.ces.2020.11580115
Idelfonso B. R. Nogueira; Márcio A. F. Martins; Maria João Regufe; Alírio E.Rodrigues; José M. Loureiro; Ana M. Ribeiro. “Big Data-Based Optimization of a Pressure Swing Adsorption Unit for Syngas Purification: On Mapping Uncertainties from a Metaheuristic Technique”. Industrial & Engineering Chemistry Research (2020): https://doi.org/10.1021/acs.iecr.0c01155.10.1021/acs.iecr.0c0115516
Santana, Vinicius V.; Martins, Márcio A.F.; Rodrigues, Alírio E.; Loureiro, José M.;Ribeiro, Ana M.; Nogueira, Idelfonso B.R.. “Transient Analysis of True/Simulated Moving Bed Reactors: A Case Study on the Synthesis of n-Propyl Propionate”.Computers & Chemical Engineering (2020): 106820. http://dx.doi.org/10.1016/j.compchemeng.2020.106820.10.1016/j.compchemeng.2020.10682017
Idelfonso B. R. Nogueira; Márcio A. F. Martins; Alírio E. Rodrigues; José M.Loureiro; Ana M. Ribeiro. “Novel Switch Stabilizing Model Predictive Control Strategy Applied in the Control of a Simulated Moving Bed for the Separationof Bi-Naphthol Enantiomers”. Industrial & Engineering Chemistry Research(2020): https://doi.org/10.1021/acs.iecr.9b05238.10.1021/acs.iecr.9b0523818
Nogueira, Idelfonso B.R.; Viena, Vinícius; Rodrigues, Alírio E.; Loureiro, José M.;Ribeiro, Ana M.. “Dynamics of a True Moving Bed Reactor: Synthesis of n-Propyl Propionate and an alternative optimization method”. Chemical Engineering and Processing - Process Intensification (2020): 107821. http://dx.doi.org/10.1016/j.cep.2020.107821.10.1016/j.cep.2020.10782119
Silva, Márcia P.; Ribeiro, Ana M.; Silva, Cláudia G.; Narin, Guler; Nogueira,Idelfonso B.R.; Lee, U-Hwang; Faria, Joaquim L.; et al. “Water Vapor Harvesting by a (P)TSA process with MIL-125(Ti)_NH2 as adsorbent”. Separation and Purification Technology (2019): 116336. http://dx.doi.org/10.1016/j.seppur.2019.116336.10.1016/j.seppur.2019.11633620
Nogueira, Idelfonso B.R.; Fontes, Raony M.; Ribeiro, Ana M.; Pontes, Karen V.;Embiruçu, Marcelo; Martins, Márcio A.F.. “A Robustly Model Predictive Control Strategy Applied in the Control of a Simulated Industrial Polyethylene Polymerization Process”. Computers & Chemical Engineering (2019): 106664.http://dx.doi.org/10.1016/j.compchemeng.2019.106664.10.1016/j.compchemeng.
Nogueira, Idelfonso B.R.; Faria, Rui P.V.; Rodrigues, Alírio E.; Loureiro, José M.;Ribeiro, Ana M.. “Chromatographic studies of n-Propyl Propionate, Part II:Synthesis in a fixed bed adsorptive reactor, modelling and uncertainties determination”. Computers & Chemical Engineering 128 (2019): 164-173. http://dx.doi.org/10.1016/j.compchemeng.2019.06.010.10.1016/j.compchemeng.2019.06.01022
Idelfonso B.R. Nogueira; Márcio A.F. Martins; Reiner Requião; Amanda R.Oliveira; Vinícius Viena; Hannu Koivisto; Alírio E. Rodrigues; José M. Loureiro;Ana M. Ribeiro. “Optimization of a True Moving Bed unit and determination ofits feasible operating region using a novel Sliding Particle Swarm Optimization”. Computers & Industrial Engineering (2019): https://doi.org/10.1016/j.cie.2019.06.020.10.1016/j.cie.2019.06.02023
Joana Matos; Rui P.V. Faria; Idelfonso B.R. Nogueira; José M. Loureiro; Ana M.Ribeiro. “Optimization Strategies for Chiral Separation by True Moving Bed Chromatography using Particles Swarm Optimization (PSO) and new Parallel PSO variant”. Computers & Chemical Engineering (2019): https://doi.org/10.1016/j.compchemeng.2019.01.020.10.1016/j.compchemeng.2019.01.02024
Idelfonso B.R. Nogueira; Rui P.V. Faria; Reiner Requião; Hannu Koivisto; Márcio A.F. Martins; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro.”Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination”. Computers & ChemicalEngineering 119 (2018): 371-382. https://doi.org/10.1016/j.compchemeng.2018.09.020.10.1016/j.compchemeng.2018.09.02025
Idelfonso B.R. Nogueira; Ana M. Ribeiro; Reiner Requião; Karen V. Pontes;Hannu Koivisto; Alírio E. Rodrigues; José M. Loureiro. “A quasi-virtual online analyser based on an artificial neural networks and offline measurements to predict purities of raffinate/extract in simulated moving bed processes”.Applied Soft Computing 67 (2018): 29-47. https://doi.org/10.1016/j.asoc.2018.03.001.10.1016/j.asoc.2018.03.00126
Idelfonso Nogueira; Cristiano Fontes; Isabel Sartori; Karen Pontes; Marcelo Embiruçu. “A model-based approach to quality monitoring of a polymerization process without online measurement of product specifications”. Computers & Industrial Engineering 106 (2017): 123-136. https://doi.org/10.1016%2Fj.cie.2017.01.030.10.1016/j.cie.2017.01.03027
Nogueira, I.B.R.; Ribeiro, A.M.; Rodrigues, A.E.; Loureiro, J.M.. “Dynamic responseto process disturbances—A comparison between TMB/SMB models intransient regime”. Computers and Chemical Engineering 99 (2017): 230-244.http://www.scopus.com/inward/record.url?eid=2-s2.0-85012284107&partnerID=MN8TOARS.10.1016/j.compchemeng.2017.01.02628
Nogueira, I.B.R.; Ribeiro, A.M.; Martins, M.A.F.; Rodrigues, A.E.; Koivisto, H.;Loureiro, J.M.. “Dynamics of a True Moving Bed separation process: Linear model identification and advanced process control”. Journal of Chromatography A 1504 (2017): 112-123. http://www.scopus.com/inward/record.url?eid=2-s2.0-85019248239&partnerID=MN8TOARS.10.1016/j.chroma.2017.04.060
I.B.R.; Pontes, K.V.. “Parameter estimation with estimability analysisapplied to an industrial scale polymerization process”. Computers and Chemical Engineering 96 (2017): 75-86. http://www.scopus.com/inward/record.url?eid=2-s2.0-84996537161&partnerID=MN8TOARS.10.1016/j.compchemeng.2016.10.01330
Idelfonso B.R. Nogueira; Ana M. Ribeiro; Alírio E. Rodrigues; José M. Loureiro.”Dynamics of a True Moving Bed separation process: Effect of operating variables on performance indicators using orthogonalization method”.Computers & Chemical Engineering 86 (2016): 5-17. http://dx.doi.org/10.1016/j.compchemeng.2015.12.009.10.1016/j.compchemeng.2015.12.00931
Sánchez, A.S.; Nogueira, I.B.R.; Kalid, R.A.. “Uses of the reject brine from inlanddesalination for fish farming, Spirulina cultivation, and irrigation of forageshrub and crops”. Desalination 364 (2015): 96-107. http://www.scopus.com/inward/record.url?eid=2-s2.0-84925455750&partnerID=MN8TOARS.10.1016/j.desal.2015.01.034

Conference Paper

Márcia Silva; Ana M. Ribeiro; Cláudia Silva; Guler Narin; Nogueira, Idelfonso; U-Hwang Lee; Joaquim Faria; et al. “Water vapour capture on MIL-125(Ti)_NH2 by (P)TSA process”. Paper presented in 2019 AIChE Annual Meeting, 2019
Márcia Silva; Ana M. Ribeiro; Nogueira, Idelfonso; Cláudia Silva; U-Hwang Lee; Joaquim Faria; José M. Loureiro; et al. “Potential of MIL-160(Al) for water generation”. Paper presented in 19th International Zeolite Conference, 2019.
Anderson N. Prudente; Daniel Diniz; Karen V. Pontes; Ana M. Ribeiro; Nogueira, Idelfonso. “Parameter estimation of a liquid-liquid equilibrium for the quaternary system n-propanol, propanoic acid, propyl propionate and water through the exploration and exploitation technique.”. Paper presented in CMN2019 - Congress on Numerical Methods in Engineering, 2019.
João Gabriel Vasconcelos Goes Mendes; Karen V. Pontes; Nogueira, Idelfonso. “Influence of the discretization method on the SMB model”. Paper presented in CMN 2019 - Congress on Numerical Methods in Engineering, 2019.
Vinicius Viena Santana; Márcio A.F. Martins; Ana Mafalda Ribeiro; José M.Loureiro; Nogueira, Idelfonso. “Dynamic response to process disturbances – Analysis of TMBR model in transient regime”. Paper presented in I Brazilian Congress on Process Systems Engineering, Rio de Janeiro, 2019.
Nogueira, Idelfonso; Ribeiro, A.M.; Rodrigues, A.E.; Loureiro, J.M.. “Advanced control of a SMB unit”. Paper presented in XXI COBEQ - Brazilian Congress Chemical Engineering, 2016.
Sánchez, A.S.; Nogueira, Idelfonso; Kalid, R.A.; Torres, E. A.. “Load forecast models using artificial neural networks: application in a university campus”. Paper presented in X Brazilian Congress of Energetic Planning, 2016.
Nogueira, Idelfonso; Fontes, R. M.; Embiruçu, M.; Loureiro, J.M.; Pontes, K.V..”Neural MPC for Quality Control of an Industrial Polymerization Reactor”. Paper presented in Doctoral Congress in Engineering, 2015.
Quito, C.; Nogueira, I.B.R.; Pontes, K.. “Modeling and optimization of a distillation column using advanced optimization software (ROMeo)”. 2014.
Nogueira, Idelfonso; Pontes, K.V.. “Estimability analysis of a phenomenological model of the ethylene polymerization process in solution”. Paper presented in XX COBEQ - Brazilian Congress Chemical Engineering, 2014.
Bernades, I.; Nogueira, Idelfonso; Pontes, K.V.. “Estimation and evaluation of the confidence regions of parameters of a phenomenological model for the ethylene copolymerization”. Paper presented in XX COBEQ - Brazilian Congress Chemical Engineering, 2014.
Nogueira, Idelfonso; Quito, C.; Pontes, K.V.. “Artificial Neural Networks Structure Selection: The benefits of Cross Validation Method”. Paper presented in International Conference on Engineering Optimization, 2014.
Sánchez, A.S.; Fontes, R. M.; Nogueira, Idelfonso. “Characterization of the water demand for non-potable purposes of a large university building, and its correlation with local rainfall data”. Paper presented in 9º Simpósio Brasileiro de Captação e Manejo de Água de Chuva, 2014.

Conference Poster

João Gabriel Vasconcelos Goes Mendes; Karen Valverde Pontes; José Miguel Loureiro; Ana Mafalda Ribeiro; Nogueira, Idelfonso. “Influence of the discretization method on the SMB model”. Paper presented in CMN 2019 - Congress on Numerical Methods in Engineering, 2019
Nogueira, Idelfonso; Ribeiro, A.M.; Rodrigues, A.E.; Loureiro, J.M.. “A model predictive control applied to a SMB unit”. Paper presented in XXI Congresso Brasileiro de Engenharia Química (COBEQ), 2016.
Sánchez, A.S.; Nogueira, Idelfonso; Kalid, R.A.; Torres, E. A.. “Load forecasting models using neural networks on a university campus.”. Paper presented in X CBPE - 10º Congresso Brasileiro de Planejamento Energético, 2016
Nogueira, Idelfonso; Fontes, R. M.; Embiruçu, M.; Loureiro, J.M.; Martins, M.A.F.;Pontes, K.V.. “Neural MPC for Quality Control of an Industrial Polymerization Reactor”. Paper presented in 1st Doctoral Congress in Engineering, 2015.
Nogueira, Idelfonso; Pontes, K.V.. “Estimability analysis of a phenomenological model of the ethylene copolymerization process in solution”. Paper presented in XX Congresso Brasileiro de Engenharia Química, 2014.
Bernades, I.; Nogueira, Idelfonso; Pontes, K.V.. “Estimation and evaluation of confidence regions of the parameters of a phenomenological model for the copolymerization of ethylene in solution”. Paper presented in XX Congresso Brasileiro de Engenharia Química, 2014.
Nogueira, Idelfonso; Quito, C.; Pontes, K.V.. “Artificial Neural Networks Structure Selection: The benefits of Cross Validation Method”. Paper presented in International Conference on Engineering Optimization, 2014.
Quito, C.; Pontes, K.V.; Nogueira, Idelfonso. “Modeling and Optimization of a Distillation Column using Advanced Optimization Software (ROMeo®)”. Paper presented in International Conference on Engineering Optimization, 2014.
Sánchez, A.S.; Fontes, R. M.; Nogueira, Idelfonso. “Characterization of water demand for non-potable purposes of a university building, and its correlation with local pluviometric data”. Paper presented in 9º Simpósio Brasileiro deCaptação e Manejo de Água de Chuva, 2014.

Thesis/Dissertation

Nogueira, Idelfonso. “Optimization and control of TMB, SMB and SMBR units”.PhD, Universidade do Porto, Faculdade de Engenharia, 2018. http://hdl.handle.net/10216/112770.2.
Nogueira, Idelfonso. “Parameter Estimation, Inference and Quality Control of an Ethylene Copolymerization Process”. Master, Universidade Federal da Bahia, Escola Politécnica, 2016. http://repositorio.ufba.br/ri/handle/ri/24330.
Nogueira, Idelfonso. “Estudo da produção de embalagens plásticas e desenvolvimento de testes de qualidade”. Master, Universidade do Porto, Faculdade de Engenharia, 2012. http://hdl.handle.net/10216/68206.

Oral Presentation

Parameter estimation of a liquid-liquid equilibrium for the quaternary systemn-propanol, propanoic acid, propylpropionate and water though the exploration and exploitation technique (CMN 2019 - Congress on Numerical Methods in Engineering)
Modelling of Complex Process Through Artificial Neural Networks (SEMPPG - Universidade Federal da Bahia Escola Politécnica (Brazil))