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Idelfonso Nogueira is an Associate Professor at the Norwegian University of Science and Technology (NTNU), where he leads a laboratory focused on developing disruptive technologies based on molecular simulation, artificial intelligence, advanced control, systems optimization, digitalization, and automation. He is an internationally recognized scientist and collaborates with several international societies, including Applied Thermodynamics and Molecular Simulation (ATOMS, UFRJ, Brazil), Laboratory of Separation and Reaction Engineering (LSRE, FEUP, Portugal), Postgraduation Program in Industrial Engineering and Postgraduation Programm in Mechatronics (PEI/PPGM, UFBA, Brazil), Julia Computing/Massachusetts Institute of Technology (United States of America). He concluded his Ph.D. in Chemical and Biological Engineering (Faculty of Engineering of the University of Porto, Portugal, with a doctoral internship at Tampere University of Technology, Finland) in 2018. Since then, he has contributed to the field with over 70 peer-reviewed publications (H-index 15 and approximately 714 citations). His research has been supported by public agencies and industries from different countries, and he has led several funded projects in collaboration with these organizations. He has been supervising/supervised 14 Ph.D. students and 37 master students. Through his leadership and expertise, his group is making important contributions to developing advanced technologies and materials that will significantly impact a range of fields, including energy storage, the oil and gas industry, chemical processing, products development (with highlight in the Flavour&Fragrances industry), and environmental sustainability.
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Identification

Personal identification

Full name
Idelfonso Bessa dos Reis Nogueira

Citation names

  • Nogueira, Idelfonso

Author identifiers

Ciência ID
F310-DEAE-737F
ORCID iD
0000-0002-0963-6449

Email addresses

  • idelfonso.b.d.r.nogueira@ntnu.no (Professional)

Telephones

Mobile phone
  • (+351) 911991699 (Personal)

Knowledge fields

  • Engineering and Technology - Chemical Engineering - Chemical Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Spanish; Castilian Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2)
Italian Intermediate (B1) Upper intermediate (B2) Elementary (A2) Upper intermediate (B2) Intermediate (B1)
Finnish Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2)
French Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
Education
Degree Classification
2015/01/05 - 2018/06/30
Concluded
 Doctorate in Chemical and Biological Engineering (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
"Optimization and control of TMB, SMB and SMBR units" (THESIS/DISSERTATION)
2013/03/01 - 2016/04/30
Concluded
 Master in Industrial Engineering (Postgraduate Certificate)
Universidade Federal da Bahia Escola Politécnica, Brazil
"Parameter Estimation, Inference and Quality Control of an Ethylene Copolymerization Process." (THESIS/DISSERTATION)
2006/09/01 - 2012/07/31
Concluded
 Chemical Engineering (Mestrado integrado)
Major in Processes and Pruducts
Universidade do Porto Faculdade de Engenharia, Portugal
Affiliation

Science

Category
Host institution 		Employer
2018/11/05 - 2022/09/30 Contracted Researcher (Research) Universidade do Porto Laboratório de Processos de Separação e Reacção Laboratório de Catálise e Materiais, Portugal
2018/09/17 - 2018/11/04 Postdoc (Research) Universidade do Porto Laboratório de Processos de Separação e Reacção Laboratório de Catálise e Materiais, Portugal
2016/09 - 2017/10 Visiting Researcher (Research) Tampereen teknillinen yliopisto Hydrauliikan ja automatiikan laitos, Finland

Teaching in Higher Education

Category
Host institution 		Employer
2022/10/01 - Current Associate Professor (University Teacher) Norges teknisk-naturvitenskapelige universitet, Norway
Norges teknisk-naturvitenskapelige universitet, Norway
2021/08/09 - 2022 Invited Assistant Professor (University Teacher) Universidade Federal da Bahia Escola Politécnica, Brazil
Universidade Federal da Bahia Escola Politécnica, Brazil
2013/08 - 2014/06 Invited Assistant Professor (University Teacher) Universidade Federal da Bahia Escola Politécnica, Brazil
Universidade Federal da Bahia Escola Politécnica, Brazil

Others

Category
Host institution 		Employer
2013/10 - 2014/08 Processes Engineer Wg Projetos, Brazil
2012/01 - 2012/09 Trainee/Process Manager Industry of Detergents of Bahia , Brazil
Projects

Grant

Designation Funders
2014/11/01 - 2018/04/30 Optimization and Control of TMB, SMB and SMBR units
200 6 67/2014-9
PhD Student Fellow
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Concluded
2017 - 2018 Optimization and control of TMB, SMB and SMBR units and production of a green solvent
11-7824-23
Researcher
Tampereen teknillinen yliopisto Hydrauliikan ja automatiikan laitos, Finland
 Tekniikan Edistämissäätiö
Concluded
2013/05/01 - 2014/09/30 Modelling and control of polymerization reactors
BOL0631/2013
Master Student Fellow
Fundação de Amparo à Pesquisa do Estado da Bahia

Braskem SA UNIB 1 BA
Concluded

Contract

Designation Funders
2018/11 - Current Gas simulated moving bed technology for methane and nitrogen separation
NORTE-01-0145-FEDER-029384
Researcher
Universidade do Porto Laboratório de Processos de Separação e Reacção Laboratório de Catálise e Materiais, Portugal
 Fundação para a Ciência e a Tecnologia
2018/09 - Current Development of package process of reaction and separation in refinery and petrochemical industry.
FEUP/KRICT/2018-73748
Researcher
Universidade do Porto Laboratório de Processos de Separação e Reacção Laboratório de Catálise e Materiais, Portugal
 Korea Research Institute of Chemical Technology
Ongoing
2023/02 - 2033/12 Digital twins for optimal decision making
Supervisor
SUBPRO, Norway
2024/04/01 - 2027/03/31 A smart process for water harvesting from air and water distribution based on eco-friendly MOFs. Funding: RCN/Horizon Europe.
350907
Principal investigator
Horizon 2020

Norges forskningsråd
Ongoing
2023/01 - 2027/01 Bridging traditional control theory and advanced control with artifitial intelligence
Supervisor
Norges teknisk-naturvitenskapelige universitet, Norway
2024 - 2027 Smart Integration of Process Systems Engineering & Machine Learning for Improved Process Safety in Process Industries.
Supervisor
Horizon 2020
Ongoing
2024 - 2027 Climate Changes and Scent Heritage: The Urgent Need for Capturing and Preserving Olfactory Landscapes in a Changing World
351190
Principal investigator
Joint Programming Initiative on Cultural Heritage

Norges forskningsråd
2023 - 2026 AI-Driven Flowsheet Innovation for Sustainable Prouction
Principal investigator
Ongoing
2012/10 - 2016/04 Modelling and control of polymerization reactors
Researcher
Universidade Federal da Bahia Escola Politécnica, Brazil
 Braskem SA UNIB 1 BA
Concluded
2014/02 - 2015/02 Development of virtual analyzers based on Artificial Neural Network models to predict polymers properties.
Principal investigator
Universidade Federal da Bahia Escola Politécnica, Brazil
 Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado da Bahia
Concluded
2014 - 2015 Development of a methodology to control the quality of different measurements in a laboratory and management of the quality controls of the laboratories of the Federal University of Bahia.
Researcher
Universidade Federal da Bahia, Brazil
Concluded
2014/02 - 2014/10 Uncertainty evaluation in Artificial Neural Network Models
Researcher
Universidade Federal da Bahia Escola Politécnica, Brazil
 Conselho Nacional de Desenvolvimento Científico e Tecnológico
Concluded
2013 - 2014 Parameters estimation and confidence region evaluations for polymerization models
Researcher
Universidade Federal da Bahia Escola Politécnica, Brazil
 Fundação de Amparo à Pesquisa do Estado da Bahia
Concluded
2013 - 2013 Parameter estimation of a polymerization process using industrial data
Researcher
Universidade Federal da Bahia Escola Politécnica, Brazil
 Conselho Nacional de Desenvolvimento Científico e Tecnológico

Other

Designation Funders
2020/01 - Current AICySPrOC - Artificial Intelligence oriented Cyclic adsorption Separation/reaction Processes Optimization and Control
Principal investigator
2023/01 - 2027/01 Molecular Simulation and Machine Learning to Optimizie Solid State Batteries
Supervisor
Simoldes, Portugal
Outputs

Publications

Book chapter
  1. 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
  2. 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
Conference abstract
  1. Silva, Beatriz; Rebello, C.M.; Alírio Egídio Rodrigues; Ribeiro, Ana Mafalda; Ferreira, Alexandre; Nogueira, Idelfonso. "Modelling and optimization of adsorption based heat pumps: A novel material screening approach based on particle swarm optimization". Paper presented in 5th European Conference on Metal Organic Frameworks and Porous Polymers - EUROMOF2023, Granada, 2023.
Conference paper
  1. 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.
  2. 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.
  3. 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 though the exploration and exploitation technique.". Paper presented in CMN 2019 - Congress on Numerical Methods in Engineering, 2019.
  4. 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.
  5. Vinicius Viena Santana; Márcio A.F. Martins; Ana Mafalda Ribeiro; José M. Loureiro; Nogueira, Idelfonso. "Dynamic response to process disturbances – An analysis of TMBR model in transient regime". Paper presented in I Brazilian Congress on Process Systems Engineering, Rio de Janeiro, 2019.
    Accepted
  6. 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.
  7. 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.
  8. 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.
  9. Quito, C.; Nogueira, I.B.R.; Pontes, K.. "Modeling and optimization of a distillation column using advanced optimization software (ROMeo)". 2014.
  10. 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.
  11. 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.
  12. 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.
  13. 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
  1. 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.
  2. 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.
  3. Sánchez, A.S.; Nogueira, Idelfonso; Kalid, R.A.; Torres, E. A.. "Load forecasting models using neural networks on a university campus.". Paper presented in XCBPE - 10º Congresso Brasileiro de Planejamento Energético, 2016.
  4. 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 Reacto". Paper presented in 1st Doctoral Congress in Engineering, 2015.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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 de Captação e Manejo de Água de Chuva, 2014.
Journal article
  1. Rebello, Carine Menezes; Nogueira, Idelfonso B.R.. "Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-m". Separation and Purification Technology 340 (2024): 126811. http://dx.doi.org/10.1016/j.seppur.2024.126811.
    10.1016/j.seppur.2024.126811
  2. Bruno C.L. Rodrigues; Vinicius V. Santana; Luana P. Queiroz; Carine M. Rebello; Idelfonso B· R· Nogueira. "Harnessing graph neural networks to craft fragrances based on consumer feedback". Computers & Chemical Engineering (2024): https://doi.org/10.1016/j.compchemeng.2024.108674.
    10.1016/j.compchemeng.2024.108674
  3. Rebello, Carine Menezes; Deiró, Gabriela Fontes; Knuutila, Hanna K.; Moreira, Lorena Claudia de Souza; Nogueira, Idelfonso B.R.. "Augmented reality for chemical engineering education". Education for Chemical Engineers 47 (2024): 30-44. http://dx.doi.org/10.1016/j.ece.2024.04.001.
    10.1016/j.ece.2024.04.001
  4. Rebello, Carine Menezes; Deiró, Gabriela Fontes; Knuutila, Hanna K.; Moreira, Lorena Claudia de Souza; Nogueira, Idelfonso B.R.. "Augmented reality for chemical engineering education". Education for Chemical Engineers 47 (2024): 30-44. http://dx.doi.org/10.1016/j.ece.2024.04.001.
    10.1016/j.ece.2024.04.001
  5. Vinicius Viena Santana; Carine Menezes Rebello; Luana P. Queiroz; Ana Mafalda Ribeiro; Nadia Shardt; Idelfonso B.R. Nogueira. "PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction". Chemical Engineering Science (2024): https://doi.org/10.1016/j.ces.2023.119623.
    10.1016/j.ces.2023.119623
  6. Vinícius V. Santana; Paulo Carmo; Rute Seabra; Alírio E. Rodrigues; Ana Mafalda Ribeiro; Idelfonso B. R. Nogueira; Ji Woong Yoon; et al. "Ethylene Purification by Pressure Swing Adsorption with the Paraffin Selective Metal–Organic Framework-DUT-8". Industrial & Engineering Chemistry Research (2024): https://doi.org/10.1021/acs.iecr.3c02808.
    10.1021/acs.iecr.3c02808
  7. Prudente, Anderson N.; Santos, Rodrigo V.A.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B.R.. "An integrated approach for parameter estimation of a propyl propionate synthesis model". Chemical Engineering Research and Design 202 (2024): 317-326. http://dx.doi.org/10.1016/j.cherd.2023.12.037.
    10.1016/j.cherd.2023.12.037
  8. Erbet Almeida Costa; Carine Menezes Rebello; Leizer Schnitman; José Miguel Loureiro; Ana Mafalda Ribeiro; Idelfonso B.R. Nogueira. "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 (2024): https://doi.org/10.1016/j.engappai.2023.107364.
    10.1016/j.engappai.2023.107364
  9. Bruno C. L. Rodrigues; Vinicius V. Santana; Sandris Murins; Nogueira, Idelfonso. "Molecule Generation and Optimization for Efficient Fragrance Creation". (2024): https://arxiv.org/abs/2402.12134.
  10. Ji Sub Yun; Kyung Ho Cho; Myung Kyun Lim; Ji Woong Yoon; Alexandre Ferreira; Ana Mafalda Ribeiro; Paulo Carmo; et al. "Process modeling and optimization of vacuum pressure swing adsorption for ethane and ethylene separation using Cu(Qc)2 MOF". Separation and Purification Technology (2023): https://doi.org/10.1016/j.seppur.2023.124711.
    10.1016/j.seppur.2023.124711
  11. Vinicius V. Santana; Erbet Costa; Carine M. Rebello; Ana Mafalda Ribeiro; Christopher Rackauckas; Idelfonso B.R. Nogueira. "Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach". Chemical Engineering Science (2023): https://doi.org/10.1016/j.ces.2023.119223.
    10.1016/j.ces.2023.119223
  12. Fernando Arrais R.D. Lima; Carine M. Rebello; Erbet A. Costa; Vinícius V. Santana; Marcellus G.F. de Moares; Amaro G. Barreto, Jr.; Argimiro R. Secchi; Maurício B. de Souza, Jr.; Idelfonso B.R. Nogueira. "Improved modeling of crystallization processes by Universal Differential Equations". Chemical Engineering Research and Design (2023): https://doi.org/10.1016/j.cherd.2023.11.032.
    10.1016/j.cherd.2023.11.032
  13. de Souza Gama, Marlon; Lima, Fernando Arrais Romero Dias; Santana, Vinícius Viena; dos Reis Nogueira, Idelfonso Bessa; Tavares, Frederico Wanderley; Barreto Júnior, Amaro Gomes. "A parallel hybrid model for integrating protein adsorption models with deep neural networks". Adsorption (2023): http://dx.doi.org/10.1007/s10450-023-00415-w.
    10.1007/s10450-023-00415-w
  14. Rodrigo V. A. Santos; Carine Rebello; Anderson Prudente; Vinicius V. Santana; Alexandre F. P. Ferreira; Ana M. Ribeiro; Karen V. Pontes; Idelfonso B. R. Nogueira. "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 (2023): https://doi.org/10.1021/acs.iecr.3c02162.
    10.1021/acs.iecr.3c02162
  15. Luis M.C. Oliveira; Vinícius V. Santana; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira. "A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning". Heliyon (2023): https://doi.org/10.1016/j.heliyon.2023.e20813.
    10.1016/j.heliyon.2023.e20813
  16. Sánchez, Antonio Santos; Junior, Euripedes Pontes; Gontijo, Bernardo Machado; de Jong, Pieter; dos Reis Nogueira, Idelfonso Bessa. "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 183 (2023): 113527. http://dx.doi.org/10.1016/j.rser.2023.113527.
    10.1016/j.rser.2023.113527
  17. Luana P. Queiroz; Carine M. Rebello; Erbet A. Costa; Vinícius V. Santana; Bruno C. L. Rodrigues; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira. "Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements". Industrial & Engineering Chemistry Research (2023): https://doi.org/10.1021/acs.iecr.3c00722.
    10.1021/acs.iecr.3c00722
  18. Beatriz C. Silva; Carine Menezes Rebello; Alírio E. Rodrigues; Ana M. Ribeiro; Alexandre F. P. Ferreira; Idelfonso B. R. Nogueira. "Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps". ACS Omega (2023): https://doi.org/10.1021/acsomega.3c01797.
    10.1021/acsomega.3c01797
  19. Luana P. Queiroz; Carine M. Rebello; Erbet A. Costa; Vinícius V. Santana; Bruno C. L. Rodrigues; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira. "Generating Flavor Molecules Using Scientific Machine Learning". ACS Omega (2023): https://doi.org/10.1021/acsomega.2c07176.
    10.1021/acsomega.2c07176
  20. Luana P. Queiroz; Carine M. Rebello; Erbet A. Costa; Vinícius V. Santana; Bruno C. L. Rodrigues; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira. "A Reinforcement Learning Framework to Discover Natural Flavor Molecules". Foods (2023): https://doi.org/10.3390/foods12061147.
    10.3390/foods12061147
  21. Rafael O. M. Dias; Idelfonso B. R. Nogueira; Alexandre F. P. Ferreira; Alírio E. Rodrigues; Ana M. Ribeiro. "A performance indicator for the screening of adsorbent/desorbent pairs for gas-phase simulated moving bed applications". AIChE Journal (2023): https://doi.org/10.1002/aic.18074.
    10.1002/aic.18074
  22. Vinícius V. Santana; Márcio A. F. Martins; José M. Loureiro; Ana M. Ribeiro; Luana P. Queiroz; Carine M. Rebello; Alírio E. Rodrigues; Idelfonso B. R. Nogueira. "Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee". ACS Omega (2023): https://doi.org/10.1021/acsomega.2c06737.
    10.1021/acsomega.2c06737
  23. Márcio A.F. Martins; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro; Idelfonso B.R. Nogueira. "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 (2023): https://doi.org/10.1016/j.seppur.2022.122668.
    10.1016/j.seppur.2022.122668
  24. Patrick Lima; Erbet Costa; Teófilo Paiva Guimarães Mendes; Leizer Schnitman; Sigurd Skogestad; Nogueira, Idelfonso. "Harnessing Feedback Control Strategy for Improved Core Annular Flow Stability in Heavy Oil Transportation". AIChE Meeting (2023): https://aiche.confex.com/aiche/2023/meetingapp.cgi/Paper/667742.
  25. Carine Menezes Rebello; Johannes Jäschke; Nogueira, Idelfonso. "Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry". ArXiv Computer Science > Artificial Intelligence (2023): https://doi.org/10.48550/arXiv.2311.12755.
  26. Fredy Vides; Nogueira, Idelfonso; Lendy Banegas; Evelyn Flores. "Dynamic financial processes identification using sparse regressive reservoir computers". Electrical Engineering and Systems Science > Systems and Control (2023): https://doi.org/10.48550/arXiv.2310.12144.
  27. Erbet Almeida Costa; Carine de Menezes Rebello; Márcio Fontana; Leizer Schnitman; Idelfonso Bessa dos Reis Nogueira. "A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models". Mathematics (2022): https://doi.org/10.3390/math11010074.
    10.3390/math11010074
  28. Joana Matos; Carine Rebello; QUEIROZ, LUANA; Regufe, Maria João; Nogueira, Idelfonso. "Bio-inspired Algorithms in the Optimisation of Wireless Sensor Networks". Future Internet MDPI (2022): 10.48550/arXiv.2210.04700.
    Accepted
  29. P. G. Mendes, Teófilo; Schnitman, Leizer; dos Reis Nogueira, Idelfonso Bessa; Mafalda Almeida Peixoto Ribeiro, Ana; Egídio Rodrigues, Alírio; Miguel Loureiro, José; Martins, Márcio A.F.. "A new Takagi-Sugeno-Kang model-based stabilizing explicit MPC formulation: An experimental case study with implementation embedded in a PLC". Expert Systems with Applications 210 (2022): 118369. http://dx.doi.org/10.1016/j.eswa.2022.118369.
    10.1016/j.eswa.2022.118369
  30. Idelfonso B. R. Nogueira; Vinicius V. Santana; Ana M. Ribeiro; Alírio E. Rodrigues. "Using scientific machine learning to develop universal differential equation for multicomponent adsorption separation systems". The Canadian Journal of Chemical Engineering (2022): https://doi.org/10.1002/cjce.24495.
    10.1002/cjce.24495
  31. Vinicius V. Santana; Marlon S. Gama; Jose M. Loureiro; Alírio E. Rodrigues; Ana M. Ribeiro; Frederico W. Tavares; Amaro G. Barreto, Jr.; Idelfonso B. R. Nogueira. "A First Approach towards Adsorption-Oriented Physics-Informed Neural Networks: Monoclonal Antibody Adsorption Performance on an Ion-Exchange Column as a Case Study". ChemEngineering 6 2 (2022): 21-21. https://doi.org/10.3390/chemengineering6020021.
    10.3390/chemengineering6020021
  32. Erbet A. Costa; Carine M. Rebello; Vinicius V. Santana; Alírio E. Rodrigues; Ana M. Ribeiro; Leizer Schnitman; Idelfonso B. R. Nogueira. "Mapping Uncertainties of Soft-Sensors Based on Deep Feedforward Neural Networks through a Novel Monte Carlo Uncertainties Training Process". Processes (2022): https://doi.org/10.3390/pr10020409.
    10.3390/pr10020409
  33. Rodrigo Santos; Carine Rebello; Anderson Prudente; Ana M. Ribeiro; Alírio E. Rodrigues; José M. Loureiro; Karen V. Pontes; Idelfonso B. R. Nogueira. "A Complete Heterogeneous Model for the Production of n-Propyl Propionate Using a Simulated Moving Bed Reactor". Separations (2022): https://doi.org/10.3390/separations9020043.
    10.3390/separations9020043
  34. Paulo H. Marrocos; Igor G.I. Iwakiri; Márcio A.F. Martins; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro; 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 (2022): 108318-108318. https://doi.org/10.1016/j.asoc.2021.108318.
    10.1016/j.asoc.2021.108318
  35. Idelfonso B.R. Nogueira; Rafael O.M. Dias; Carine M. Rebello; Erbet A. Costa; Vinicius V. Santana; Alírio E. Rodrigues; Alexandre Ferreira; Ana M. Ribeiro. "A novel nested loop optimization problem based on Deep Neural Networks and Feasible Operation Regions definition for simultaneous material screening and process optimization". Chemical Engineering Research and Design (2022): https://doi.org/10.1016/j.cherd.2022.02.013.
    10.1016/j.cherd.2022.02.013
  36. Carine M. Rebello; Paulo H. Marrocos; Erbet A. Costa; Vinicius 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 (2022): https://doi.org/10.3390/pr10020250.
    10.3390/pr10020250
  37. Rodrigo Santos; Karen V. Pontes; Idelfonso B. R. Nogueira. "Enantiomers and Their Resolution". Encyclopedia (2022): https://doi.org/10.3390/encyclopedia2010011.
    10.3390/encyclopedia2010011
  38. Carine M. Rebello; Márcio A.F. Martins; Alírio E. Rodrigues; José M. Loureiro; 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 (2022): https://doi.org/10.1016/j.cherd.2021.12.047.
    10.1016/j.cherd.2021.12.047
  39. Carine M. Rebello; Márcio A. F. Martins; Daniel D. Santana; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro; Idelfonso B. R. Nogueira. "From a Pareto Front to Pareto Regions: A Novel Standpoint for Multiobjective Optimization". Mathematics (2021): https://doi.org/10.3390/math9243152.
    10.3390/math9243152
  40. Maria João Regufe; Vinicius V. Santana; Alexandre F. P. Ferreira; Ana M. Ribeiro; José M. Loureiro; Idelfonso B. R. Nogueira. "A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries". Processes (2021): https://doi.org/10.3390/pr9111939.
    10.3390/pr9111939
  41. 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.
    10.3390/ai2030027
  42. 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.
    10.3390/math9151808
  43. 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.
    10.1016/j.seppur.2021.119333
  44. 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.
    10.1021/acs.iecr.1c01276
  45. 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.
    10.3390/molecules26113095
  46. 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.
    10.1016/j.compchemeng.2021.107344
  47. 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.
    10.1021/acs.iecr.1c00214
  48. Nogueira, Idelfonso. "Artificial Intelligence and Cyber-Physical Systems : A Short Review and Perspectives for the Future". COJ Robotics & Artificial Intelligence (2021):
    Open access • Published
  49. 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.
    10.1007/s10450-020-00286-5
  50. Regufe, Maria João; Santana, Vinícius V.; Martins, Márcio M.; Ferreira, Alexandre F.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.
    Published • 10.1016/j.ifacol.2021.08.216
  51. 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.
    Published • 10.1016/j.ifacol.2021.08.298
  52. 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 Linear Model Mismatch". IFAC-PapersOnLine 54 3 (2021): 219-224. http://dx.doi.org/10.1016/j.ifacol.2021.08.245.
    10.1016/j.ifacol.2021.08.245
  53. 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.
    10.1016/j.ifacol.2021.08.299
  54. 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". Chemical Engineering Science 224 (2020): 115801. http://dx.doi.org/10.1016/j.ces.2020.115801.
    10.1016/j.ces.2020.115801
  55. 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.0c01155
  56. 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.2020.106820
  57. 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 Separation of Bi-Naphthol Enantiomers". Industrial & Engineering Chemistry Research (2020): https://doi.org/10.1021/acs.iecr.9b05238.
    10.1021/acs.iecr.9b05238
  58. 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.2020.107821
  59. 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.2019.116336
  60. 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.2019.106664
  61. 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.2019.06.010
  62. 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 of its 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.2019.06.020
  63. 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.2019.01.020
  64. 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 & Chemical Engineering 119 (2018): 371-382. https://doi.org/10.1016/j.compchemeng.2018.09.020.
    10.1016/j.compchemeng.2018.09.020
  65. 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.2018.03.001
  66. 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.2017.01.030
  67. Nogueira, I.B.R.; Ribeiro, A.M.; Rodrigues, A.E.; Loureiro, J.M.. "Dynamic response to process disturbances—A comparison between TMB/SMB models in transient 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.2017.01.026
  68. 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
  69. Nogueira, I.B.R.; Pontes, K.V.. "Parameter estimation with estimability analysis applied 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.2016.10.013
  70. 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.2015.12.009
  71. Sánchez, A.S.; Nogueira, I.B.R.; Kalid, R.A.. "Uses of the reject brine from inland desalination for fish farming, Spirulina cultivation, and irrigation of forage shrub 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
Preprint
  1. Bruno de Carvalho Leite Rodrigues; Vinicius Viena Santana; Luana de Pinho Queiroz; Carine Menezes Rebello; Idelfonso B. R. Nogueira. "Scents of AI: Harnessing Graph Neural Networks to Craft Fragrances Based on Consumer Feedback". 2023. https://doi.org/10.20944/preprints202310.0247.v1.
    10.20944/preprints202310.0247.v1
  2. Idelfonso B. R. Nogueira; Carine Menezes Rebello; Lorena Claudia de Souza Moreira. "Augmented Reality in Architectural Heritage Preservation: A Comprehensive Digitization Approach Validated in Salvador’s Pelourinho District – Brazil". 2023. https://doi.org/10.20944/preprints202309.0038.v1.
    10.20944/preprints202309.0038.v1
Thesis / Dissertation
  1. 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.
  3. 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.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2019/07 Parameter estimation of a liquid-liquid equilibrium for the quaternary system n-propanol, propanoic acid, propyl propionate and water though the exploration and exploitation technique. CMN 2019 - Congress on Numerical Methods in Engineering
2013/10 Modelling of Complex Process Through Artificial Neural Networks SEMPPG
Universidade Federal da Bahia Escola Politécnica (Brazil)

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2023/01/01 - Current New design of solid-state batteries by artificial intelligence and molecular simulation
Supervisor
 PhD Chemical Engineering (PhD)
Norges teknisk-naturvitenskapelige universitet, Norway
2021/01 - Current A disruptive Cyber-Physical System plant for fragrances formulation.
Supervisor of Luis Oliveira
 Chemical and Biological Engineering (PhD)
Universidade do Porto Faculdade de Engenharia, Portugal
2021/01 - Current Cyber-physical oriented chemical process for green and sustainable production
Supervisor
 PhD Chemical and Biological Engineering (PhD)
Universidade do Porto Faculdade de Engenharia, Portugal
2020/02 - Current A complete model for the synthesis of n-Propyl Propionate in a Simulated Moving Bed Reaction
Co-supervisor of Anderson A. Prudente
 Master in Industrial Engineering (Master)
Universidade Federal da Bahia, Brazil
2020/02 - Current Dynamics of Simulated Moving Bed Reactors
Co-supervisor of Vinicius Viena
 Master in Industrial Engineering (Master)
Universidade Federal da Bahia, Brazil
2020/01 - Current Explicit Solution of Predictive Controllers Based on Model Computed by Artificial Intelligence Algorithms
Co-supervisor of Teófilo P. G. Mendes
 Ph.D. in Mechatronics (PhD)
Editora da Universidade Federal da Bahia, Brazil
2018/11/01 - Current Parameters Estimation in Cyclic Processes
Supervisor of Rodrigo Vergner de Sá
 Engenharia Industrial (PhD)
Universidade Federal da Bahia Escola Politécnica, Brazil
2018 - Current Real-time multi-objective optimization for pressure swing adsorption units
Co-supervisor of Carine de Menezes Rebello
 PhD in Industrial Engineering (PhD)
Universidade Federal da Bahia, Brazil
2018 - 2020/01/31 Parameters Estimation of Equilibrium Models for n-Propyl Propionate Reaction System
Co-supervisor of Anderson Nascimento Prudente
 Engenharia Química (Degree)
Universidade Federal da Bahia Escola Politécnica, Brazil
2018 - 2020/01/31 Dynamics of True Moving Bed Reactors
Supervisor of Vinicius Viena Santana
 Engenharia Química (Degree)
Universidade Federal da Bahia Escola Politécnica, Brazil
2019/02 - 2019/08 Modelling of a PSA unit by artificial neural networks
Co-supervisor of Luis Miguel Cunha Oliveira
 Master in Chemical Engineering (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2016 - 2017 Particles Swarm Optimization for Chiral Separation by True Moving Bed Chromatography
Co-supervisor of Joana de Matos Silva
 Mestrado Integrado em Engenharia Química (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2015 Uncertainty analysis of an artificial neural model
Co-supervisor of Gabriela Casal Benassi
 Chemical Engineering (Scientific initiation)
Universidade Federal da Bahia Escola Politécnica, Brazil
2014 - 2015 Development of a multi-neural networks model to predict polymers properties
Co-supervisor of Marina Figueiredo Soares Mello
 Chemical Engineering (Scientific initiation)
Universidade Federal da Bahia Escola Politécnica, Brazil
2014 - 2015 Development of a recurrent neural networks model to predict polymers properties
Co-supervisor of Dylan Conte Damacena
 Engenharia Química (Scientific initiation)
Universidade Federal da Bahia Escola Politécnica, Brazil
2013 - 2014 Parameter estimation of a polymerization process using industrial data
Co-supervisor of Danielle Mendes de Almeida Sampaio
 Chemical Engineering (Scientific initiation)
Universidade Federal da Bahia Escola Politécnica, Brazil
2013 - 2014 Estimation and evaluation of the confidence regions of parameters of a phenomenological model for the ethylene copolymerization
Co-supervisor of Ícaro Bernades
 Chemical Engineering (Scientific initiation)
Universidade Federal da Bahia Escola Politécnica, Brazil

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2023/02 - Current Scientific Committee (2023/10)
Congress (Member of the Scientific Committee)
2014 - 2014 Lecture Cycle - Writing Scientific Articles (2014/07 - 2014/08)
Seminar (Co-organisor)
 Universidade Federal da Bahia Escola Politécnica, Brazil
2013 - 2014 II Scientific Seminar of the Research Group in Uncertainties (2014/03 - 2014/03)
Seminar (Co-organisor)
 Universidade Federal da Bahia Escola Politécnica, Brazil
2013 - 2013 New Tools of the Engineering Applied to Solve Industrial Problems (2013/12 - 2013/12)
Conference (Co-organisor)
 Universidade Federal da Bahia Escola Politécnica, Brazil

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2021/06 PID Controller Project For Simulated Moving Bed Process
(Thesis) Arguer
 Matheus Pellon de Lima Bulhões (Other)
Universidade Federal da Bahia Escola Politécnica, Brazil
2021 Solketal Continuous Production Plant Project: Reaction and Separation Aspects.
(Thesis) Arguer
 Victor Marques Brandão (Other)
Universidade Federal da Bahia Escola Politécnica, Brazil

Association member

Society Organization name Role
2020/08 - Current P2S - Processos e Produtos Sustentáveis (UFBA research group) External Reseacher
2020 - Current Artificial Intelligent oriented Cyclic Adsorption Separation and Reaction Processes Optimization and Control (AICySPrOC) Founding Member, Coordinator
2013 - 2016 Group of Research in Uncertainty GI-UFBA Specialist Member

Conference scientific committee

Conference name Conference host
2020/12 - 2021/12 3rd International Conference on Machine Learning and Intelligent Systems (MLIS 2021) China
2019 - 2020 2nd International Conference on Machine Learning and Intelligent Systems (MLIS2020) Korea
2019 - 2019 3rd International Conference on Computer Science and Application Engineering China
2018 - 2019 2019 International Conference on Machine Learning and Intelligent Systems National Dong Hwa University - Taiwan

Consulting

Activity description Institution / Organization
2013/01 - 2014/02 Consultant for several projects developed in the institution. Colégio Ana Teresa, Brazil

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2021/08 - Current Artificial Intelligence-based Processes Optimization Universidade Federal da Bahia, Brazil
2020/02 - 2020/09 Numerical Methods and Programming (Mestrado integrado) Universidade do Porto Faculdade de Engenharia, Portugal
2019/09 - 2020/02 Algebra (Mestrado integrado) Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2019 Dynamics and Processes Control (Mestrado integrado) Universidade do Porto Faculdade de Engenharia, Portugal
2016 - 2016 Dynamics and Processes Control (Mestrado integrado) Universidade do Porto Faculdade de Engenharia, Portugal
2014/12 - 2014/12 New Tools of the Engineering Applied to Solve Industrial Problems (Licenciatura) Universidade Federal da Bahia Escola Politécnica, Brazil
2014/09 - 2014/09 Process Optimization Through Multi-Functional Unities (Licenciatura) Universidade Federal da Bahia Escola Politécnica, Brazil
2014/07 - 2014/08 Writing Scientific Articles (Pós-Graduação) Universidade Federal da Bahia Escola Politécnica, Brazil
2014/05 - 2014/08 ENGD01 - Computational Methods in Engineering (Licenciatura) Universidade Federal da Bahia Escola Politécnica, Brazil
2014/05 - 2014/08 ENGD04 - Mathematical And Computational Methods in Engineering (Licenciatura) Universidade Federal da Bahia Escola Politécnica, Brazil
2014/03 - 2014/03 Fundamentals of Measurement Uncertainties and Estimates (Licenciatura) Universidade Federal da Bahia Escola Politécnica, Brazil

Journal scientific committee

Journal title (ISSN) Publisher
2021/06 - Current Brazilian Journal of Chemical Engineering (01046632) Springer
2021/01 - Current Energy and AI (2666-5468) Elsevier
2021 - Current Soft Computing (14327643) Springer
2021 - Current Mathematics (2227-7390) MDPI
2020/10 - Current AI (ISSN 2673-2688) MDPI
2020/07 - Current Chemical Engineering and Science (2328-7381)
2020/03 - Current Computers & Chemical Engineering (0098-1354) Elsevier
2020/02 - Current Symmetry (2073-8994) MDPI
2020 - Current Chemosphere (00456535) Elsevier
2019/12 - Current Applied Sciences (2076-3417) MDPI
2019/10 - Current Energies (1996-1073) MDPI AG
2019 - Current Processes (2227-9717) MDPI
2018 - Current Journal of Chromatography A (0021-9673) Elsevier
2016 - Current Hydrology: Current Research (2157-7587)
2016 - Current Journal of Marine Science: Research & Development (2157-7587)