Jérôme Mendes

    Name: Jérôme Mendes, Ph.D.
    Position: External Collaborator
    Website: https://home.isr.uc.pt/~jermendes








    Supervisor of:
    Jorge Sampaio Silveira Júnior, Ph.D. Student
    Pedro Sousa, External Collaborator
    Joana Leiria, Research Engineer



    Journals

    J. Alvarinhas Pereira, Jérôme Mendes, Jorge Sampaio Silveira Júnior, C. Viegas, J. Ruivo Carvalho Paulo, Metaheuristic algorithms for calibration of two-dimensional wildfire spread prediction model, Engineering Applications of Artificial Intelligence, vol. 135. , p. 108928, 2024

    G. Gouveia, J. Alves, P. Sousa, R. Araújo, Jérôme Mendes, A Modular Industrial Hardware Control System for Smart Industries, Processes, Vol. 12, no. 6, pp. 1165, MDPI, Basel, Switzerland, 2024
    http://doi.org/10.3390/pr12061165

    N. Gonçalves Mendes, Jérôme Mendes, Mohammadi, P. Moura, Federated Learning Framework for Prediction of Net Energy Demand in Transactive Energy Communities, Sustainable Energy, Grids and Networks, 40, 2024
    https://doi.org/10.1016/j.segan.2024.101522

    Jorge Sampaio Silveira Júnior, Carlos Gaspar, Jérôme Mendes, C. Premebida, Assessing interpretability of data-driven fuzzy models: Application in industrial regression problems, Expert Systems, 2024

    Book Sections

    Jorge Sampaio Silveira Júnior, Jérôme Mendes, Francisco Souza, C. Premebida, Explainable Deep Fuzzy Systems Applied to Sulfur Recovery Unit, Studies in Big Data, Volume 155, Pages 27 - 54, 2024

    Conferences

    N. Gonçalves Mendes, Jérôme Mendes, C. De Sousa Moura, Prediction of Net Energy Demand for the Management of Transactive Energy Communities, In 12th International Conference on Energy Efficiency in Domestic Appliances and Lighting (EEDAL’24), Kitakyushu-city (Japan), 2024

    N. Gonçalves Mendes, Jérôme Mendes, N. Gonçalves, P. Moura, Energy Management Framework for Transactive Energy Communities, IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), pp. 1060-1065, Porto, Portugal, 2024
    https://doi.org/10.1109/MELECON56669.2024.10608690

    Journals

    Jorge Sampaio Silveira Júnior, Jérôme Mendes, Francisco Souza, C. Premebida, Survey on Deep Fuzzy Systems in regression applications: a view on interpretability, International Journal of Fuzzy Systems, 1-22, 2023
    https://doi.org/10.1007/s40815-023-01544-8

    J. Eduardo Cipriano Tafula, C. Justo, P. Moura, Jérôme Mendes, Soares, Multicriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in Mozambique, Energies 2023, 16, 2894, 2023
    https://doi.org/10.3390/en16062894

    B. Matos, Rodrigo de O. Salles, Jérôme Mendes, Joana R. Gouveia, Antonio J. Baptista, P. Moura, A Review of Energy and Sustainability KPI-based Monitoring and Control Methodologies on WWTPs, Mathematics, Vol. 11, pp. 173, 2023
    https://doi.org/10.3390/math11010173

    Conferences

    N. Gonçalves Mendes, P. Moura, Jérôme Mendes, C. Henggeler Antunes, Mohammadi, Federated Learning Optimization for Energy Communities in Smart Cities, In 2023 IEEE International Smart Cities Conference (ISC2 2023), Bucharest (Romania), 2023
    https://doi.org/10.1109/ISC257844.2023.10293511

    G. Mendes, N. Alexandre, J. Tabora, M. Tostes, E. Matos, U. Holanda de Bezerra, A. de Almeida, P. Moura, Jérôme Mendes, F. J. T. E. Ferreira, ANN for Motor Loading Diagnosis under Voltage Variation Conditions, In Proc. of The 4th IEEE Kansas Power Energy Conference (KPEC 2023), Manhattan (USA), 2023
    https://doi.org/10.1109/KPEC58008.2023.10215414

    Mafalda Amaro, Jérôme Mendes, Tiago Matias, R. Araújo, Adaptive Fuzzy Generalized Predictive Control of pH in Tubular Photobioreactors on Microalgae Plant, In Proc. of the 2nd IEEE Industrial Electronics Society Annual Online Conference (IESONCON 2023), 2023
    https://iesoncon2023.com/

    J. Leiria, Rodrigo de O. Salles, Jérôme Mendes, P. Sousa, Soft Sensors for Industrial Applications: Comparison of Variables Selection Methods and Regression Models, In Proc. of The 7th International Conference on Control, Automation and Diagnosis (ICCAD 2023), Rome, Italy, 2023

    J. Alves, P. Sousa, B. Matos, Jérôme Mendes, Francisco Souza, T. Matias, Modular Cyber-Physical System for Smart Industry: a Case Study on Energy Load Disaggregation, In Proc. of The 7th International Conference on Control, Automation and Diagnosis (ICCAD 2023), Rome, Italy, 2023

    Journals

    Luis Laim, Jérôme Mendes, Helder D. Craveiro, Aldina Santiago, C. Melo, , , , Structural optimization of closed built-up cold-formed steel columns, Journal of Constructional Steel Research, 2022
    https://doi.org/10.1016/j.jcsr.2022.107266

    M. Gonçalves, P. Sousa, Jérôme Mendes, Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems, IEEE Access, 2022
    https://doi.org/10.1109/ACCESS.2022.3173376

    B. Matos, Rodrigo de O. Salles, Jérôme Mendes, Joana R. Gouveia, Antó, P. Moura, A Review of Energy and Sustainability KPI-Based Monitoring and Control Methodologies on WWTPs., Mathematics 2022, 11, 173, 2022
    https://doi.org/10.3390/math11010173

    Jorge Sampaio Silveira Júnior, J. Ruivo Carvalho Paulo, Jérôme Mendes, Daniela Alves, L. Ribeiro, C. Viegas, Automatic Forest Fire Danger Rating Calibration: Exploring Clustering Techniques For Regionally Customizable Fire Danger Classification, Expert Systems With Applications, 193:116380, 2022
    https://doi.org/10.1016/j.eswa.2021.116380

    J. Alvarinhas Pereira, Jérôme Mendes, Jorge Sampaio Silveira Júnior, C. Viegas, J. Ruivo Carvalho Paulo, A Review of Genetic Algorithm Approaches for Wildfire Spread Prediction Calibration, Mathematics, 10(3), 300, 2022
    https://doi.org/10.3390/math10030300

    Conferences

    Rodrigo de O. Salles, Jérôme Mendes, C. Henggeler Antunes, P. Moura, Joana Dias, Dynamic Setpoint Optimization Using Metaheuristic Algorithms for Wastewater Treatment Plants, In Proc. of The 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), pages 1–6, Brussels, Belgium, 2022
    http://doi.org/10.1109/IECON49645.2022.9968617

    J. Alvarinhas Pereira, Jérôme Mendes, Wildfire Spread Prediction Model Calibration Using Metaheuristic Algorithms., In Proc. of The 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), pages 1–6, Brussels, Belgium, 2022
    http://doi.org/10.1109/IECON49645.2022.9968435

    R. Maia, Jérôme Mendes, R. Araújo, Electric vehicle physical parameters identification by evolutionary algorithms, In Proc. of The 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), pages 1-6, Brussels, Belgium, 2022
    http://doi.org/10.1109/IECON49645.2022.9968543

    N. Gonçalves Mendes, P. Moura, Jérôme Mendes, Rodrigo de O. Salles, Federated Learning Enabled Prediction of Energy Consumption in Transactive Energy Communities, In Proc. of The 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), IEEE, 2022
    http://doi.org/10.1109/ISGT-Europe54678.2022.9960350

    Rodrigo de O. Salles, Jérôme Mendes, Rita P. Ribeiro, J. Gama, Fault Detection in Wastewater Treatment Plants, The 7th Workshop on Data Science for Social Good, Grenoble, France, 2022

    J. Alves, P. Sousa, Pedro Serrano, Jérôme Mendes, Adaptable monitoring and control platform for residential environments, In Proc. of The 19th International Conference on Sustainable Energy Technologies (SET 2022), Istanbul, Turkey, 2022

    Rodrigo de O. Salles, Jérôme Mendes, R. Araújo, C. Melo, P. Moura, Prediction of key variables in wastewater treatment plants using machine learning models, In Proc. 2022 IEEE International Joint Conference on Neural Networks (IJCNN 2022), at 2022 IEEE World Congress on Computational Intelligence (WCCI 2022), pages 1-9, IEEE, Padova, Italy, 2022
    http://doi.org/10.1109/IJCNN55064.2022.9892661

    Journals

    Francisco Souza, Jérôme Mendes, R. Araújo, A Regularized Mixture of Linear Experts for Quality Prediction in Multimode and Multiphase Industrial Processes, Applied Sciences, Vol. 11, no. 5, pp. 2040, MDPI, Basel, Switzerland, 2021
    https://doi.org/10.3390/app11052040

    Conferences

    Jorge Sampaio Silveira Júnior, Jérôme Mendes, R. Araújo, J. Ruivo Carvalho Paulo, C. Premebida, 19th IEEE International Conference on Industrial Informatics, Novelty Detection for Iterative Learning of MIMO Fuzzy Systems (BEST PAPER AWARD), Palma, Spain, 2021

    Jorge Sampaio Silveira Júnior, Jérôme Mendes, R. Araújo, J. Ruivo Carvalho Paulo, C. Premebida, Novelty Detection for Iterative Learning of MIMO Fuzzy Systems, Proc. IEEE 19th International Conference on Industrial Informatics (INDIN 2021), pp. 1-7, Palma de Mallorca, Spain, 2021
    https://doi.org/10.1109/INDIN45523.2021.9557354

    Journals

    R. Maia, Jérôme Mendes, R. Araújo, M. Silva, U. J. Nunes, Regenerative braking system modeling by fuzzy Q-learning, Engineering Applications of Artificial Intelligence, 93:103712, 2020
    http://doi.org/10.1016/j.engappai.2020.103712

    Jérôme Mendes, R. Araújo, Francisco Souza, Self-evolving fuzzy controller composed of univariate fuzzy control rules, Applied Sciences, Vol. 10, no. 17, pp. 5836, MDPI, Basel, Switzerland, 2020
    https://doi.org/10.3390/app10175836

    Journals

    Jérôme Mendes, Francisco Souza, R. Araújo, S. Rastegar, Neo-Fuzzy Neuron Learning Using Backfitting Algorithm, Neural Computing and Applications, Vol. 31, no. 8, pp. 3609-3618, Springer, 2019
    http://dx.doi.org/10.1007/s00521-017-3301-4

    Conferences

    Jérôme Mendes, Francisco Souza, R. Maia, R. Araújo, Iterative Learning of Multiple Univariate Zero-Order T-S Fuzzy Systems, Proc. of the The IEEE 45th Annual Conference of the Industrial Electronics Society (IECON 2019), pp. 3657-3662, Lisbon, Portugal, 2019
    http://doi.org/10.1109/IECON.2019.8927224

    Conferences

    Carlos Belchior, R. Araújo, Jérôme Mendes, Alcidney Chaves, R. Maia, $H_infty$ Adaptive Fuzzy Control Approach Applied to Antilock-Braking Systems Over a CAN Network, Proc. 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2018), pp. 910-917, Torino, Italy, 2018
    http://doi.org/10.1109/ETFA.2018.8502668

    R. Pereira, R. Araújo, Jérôme Mendes, R. Maia, G. Gouveia, Sun-Synchronous Satellite Simulation on KhronoSim, the New System Testing Architecture (Received the Best Paper Award of the conference), Proc. 2018 IEEE International Conference on Electrical Engineering and Informatics (ICELTICS 2018), pp. 61-66, Banda Aceh, Indonesia, 2018
    http://doi.org/10.1109/ICELTICS.2018.8548850

    Jérôme Mendes, R. Maia, R. Araújo, G. Gouveia, Evolving Fuzzy Controller, and Application to a Distributed Two-Tank Process, Proc. 2018 IEEE International Conference on Electrical Engineering and Informatics (ICELTICS 2018), pp. 55-60, Banda Aceh, Indonesia, 2018
    http://doi.org/10.1109/ICELTICS.2018.8548831

    Jérôme Mendes, R. Maia, R. Araújo, G. Gouveia, Intelligent Controller for Industrial Processes Applied to a Distributed Two-Tank System, Proc. 1st IEEE International Conference on Artificial Intelligence for Industries (AI4I 2018), pp. 39-43, Laguna Hills, California, USA, 2018

    Jérôme Mendes, A. Craveiro, R. Araújo, Iterative design of a mamdani fuzzy controller, In Proc. of the The 13th APCA/IEEE International Conference on Automatic Control and Soft Computing (CONTROLO 2018), pages 85-90, Ponta Delgada, Azores, Portugal, 2018
    http://doi.org/10.1109/CONTROLO.2018.8516415

    Journals

    Jérôme Mendes, L. Osorio, R. Araújo, Self-Tuning PID Controllers in Pursuit of Plug and Play Capacity, Control Engineering Practice, Vol. 69, pp. 73-84, Elsevier, 2017
    http://dx.doi.org/10.1016/j.conengprac.2017.09.006

    S. Rastegar, R. Araújo, Jérôme Mendes, Online Identification of Takagi-Sugeno Fuzzy Models Based on Self-Adaptive Hierarchical Particle Swarm Optimization Algorithm", Applied Mathematical Modelling, Applied Mathematical Modelling , Vol. 45, pp. 606-620, Elsevier, 2017
    http://dx.doi.org/10.1016/j.apm.2017.01.019

    S. Rastegar, R. Araújo, J. Sadati, Jérôme Mendes, A Novel Robust Control Scheme for LTV Systems Using Output Integral Discrete-Time Synergetic Control Theory, European Journal of Control , Vol. 34, pp. 39-48, Elsevier, 2017
    http://dx.doi.org/10.1016/j.ejcon.2016.12.006

    Conferences

    Jérôme Mendes, Francisco Souza, R. Araújo, Online Evolving Fuzzy Control Design: An Application to a CSTR Plant, Proc. IEEE 15th International Conference on Industrial Informatics (INDIN 2017), pp. 218-225, Emden, Germany, 2017
    https://doi.org/10.1109/INDIN.2017.8104774

    Journals

    S. Rastegar, R. Araújo, Jérôme Mendes, A New Approach for Online T-S Fuzzy Identification and Model Predictive Control of Nonlinear Systems, Journal of Vibration and Control , Vol. 22, no. 7, pp. 1820-1837, Sage, 2016
    http://dx.doi.org/10.1177/1077546314544894

    Francisco Souza, R. Araújo, Jérôme Mendes, Review of soft sensors methods for regression applications, Chemometrics and Intelligent Laboratory Systems, Vol. 152, pp. 69-79, Elsevier, 2016
    http://dx.doi.org/10.1016/j.chemolab.2015.12.011

    Journals

    Jérôme Mendes, R. Araújo, T. Ferreira Matias, R. Seco, Carlos Belchior, Automatic Extraction of the Fuzzy Control System by a Hierarchical Genetic Algorithm, Engineering Applications of Artificial Intelligence , Vol. 29, pp. 70-78, Elsevier, 2014
    http://dx.doi.org/10.1016/j.engappai.2013.12.012
    WOS:000332811300006

    Conferences

    S. Rastegar, R. Araújo, Jérôme Mendes, T. Ferreira Matias, A. Emami, Self-adaptive Takagi-Sugeno Model Identification Methodology For Industrial Control Processes, In Proc. of the The 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), pages 281-287, Dallas, TX, USA, 2014

    Jérôme Mendes, R. Araújo, T. Ferreira Matias, R. Seco, Carlos Belchior, Evolutionary Learning of a Fuzzy Controller for Industrial Processes, In Proc. of the The 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), pages 139-145, Dallas, TX, USA, 2014

    T. Ferreira Matias, Francisco Souza, R. Araújo, S. Rastegar, Jérôme Mendes, Adaptive Identification and Predictive Control Using an Improved On-Line Sequential Extreme, In Proc. of the The 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), pages 58-64, Dallas, TX, USA, 2014

    Thesis

    Jérôme Mendes, Computational Intelligence Methodologies for Control of Industrial Processes, Ph.D. Thesis, University of Coimbra, Portugal, 2014, Supervised by Rui Alexandre Matos Araújo

    Journals

    Jérôme Mendes, R. Araújo, Francisco Souza, Adaptive Fuzzy Identification and Predictive Control for Industrial Processes, Expert Systems with Applications, Vol. 40, No. 17, pp. 6964-6975, Elsevier, 2013
    http://dx.doi.org/10.1016/j.eswa.2013.06.057
    WOS:000326214700031

    Francisco Souza, R. Araújo, T. Ferreira Matias, Jérôme Mendes, A Method of Variable Selection Using Neural Networks for Soft Sensors Applications, Journal of Process Control, Vol. 23, No. 10, pp. 1371-1378, Elsevier, 2013
    http://dx.doi.org/10.1016/j.jprocont.2013.09.014
    WOS:000328721400005

    Francisco Souza, R. Araújo, T. Ferreira Matias, Jérôme Mendes, A Multilayer-Perceptron Based Method for Variable Selection in Soft Sensor Design, Journal of Process Control, Vol. 23, No. 10, pp. 1371-1378, Elsevier, 2013
    http://dx.doi.org/10.1016/j.jprocont.2013.09.014
    WOS:000328721400005

    Conferences

    L. Osório, Jérôme Mendes, R. Araújo, T. Ferreira Matias, A Comparison of Adaptive PID Methodologies Controlling a DC Motor With a Varying Load", Proc.18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliari, Italy, 2013
    http://dx.doi.org/10.1109/ETFA.2013.6648093

    Journals

    Jérôme Mendes, Francisco Souza, R. Araújo, N. Gonçalves, Genetic fuzzy system for data-driven soft sensors design, Applied Soft Computing, vol.12, n.10, pp.3237-3245, Elsevier Science, 2012
    http://dx.doi.org/10.1016/j.asoc.2012.05.009
    WOS:000307122200011

    Conferences

    Jérôme Mendes, R. Araújo, Fuzzy Model Predictive Control for Nonlinear Processes, Proc. 17th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2012), Kraków, Poland, 2012
    http://dx.doi.org/10.1109/ETFA.2012.6489611
    WOS:000320333400080

    Jérôme Mendes, S. Pinto, R. Araújo, Francisco Souza, Evolutionary Fuzzy Models for Nonlinear Identification, Proc. 17th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2012), Kraków, Poland, 2012
    http://dx.doi.org/10.1109/ETFA.2012.6489621
    WOS:000320333400090

    Journals

    Jérôme Mendes, R. Araújo, P. Sousa, F. Apóstolo, L. Alves, An Architecture for Adaptive Fuzzy Control in Industrial Environments, Computers in Industry, vol.62, n.3, pp.364-373, Elsevier Science, 2011
    http://dx.doi.org/10.1016/j.compind.2010.11.001
    WOS:000289183900013

    Conferences

    Jérôme Mendes, R. Araújo, Stable Indirect Adaptive Predictive Fuzzy Control for Industrial Processes, Proc. 16th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, France, 2011
    http://dx.doi.org/10.1109/ETFA.2011.6059067
    WOS:000297542900090

    Jérôme Mendes, R. Seco, R. Araújo, Automatic Extraction of the Fuzzy Control System for Industrial Processes, Proc. 16th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, France, 2011
    http://dx.doi.org/10.1109/ETFA.2011.6059063
    WOS:000297542900086

    Jérôme Mendes, N. Sousa, R. Araújo, Adaptive Predictive Control With Recurrent Fuzzy Neural Network for Industrial Processes, Proc. 16th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, France, 2011
    http://dx.doi.org/10.1109/ETFA.2011.6059066
    WOS:000297542900089

    Conferences

    Jérôme Mendes, R. Araújo, Adaptive Fuzzy Generalized Predictive Control Based on Discrete-Time T-S Fuzzy Model for Industrial Processes, National Science and Technology Week, Faculty of Sciences and Technology, University of Coimbra, 2010

    Jérôme Mendes, R. Araújo, Francisco Souza, Adaptive Fuzzy Generalized Predictive Control Based on Discrete-Time T-S Fuzzy Model, Proc. 15th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2010), Bilbao, Spain, 2010
    http://dx.doi.org/10.1109/ETFA.2010.5641301
    WOS:000313616400176

    Jérôme Mendes, R. Araújo, Adaptive Fuzzy Model-Based Predictive Control: a Lyapunov Approach, Proc. 9th Portuguese Conference on Automatic Control (CONTROLO 2010), Coimbra, Portugal, 2010

    Jérôme Mendes, R. Araújo, P. Sousa, F. Apóstolo, L. Alves, Fuzzy Control Architecture for Industrial Systems, Proc. 9th Portuguese Conference on Automatic Control (CONTROLO 2010), , Coimbra, Portugal, 2010

    Francisco Souza, R. Araújo, S. Gomes Soares, Jérôme Mendes, Variable Selection Based on Mutual Information for Soft Sensors Applications, Proc. 9th Portuguese Conference on Automatic Control (CONTROLO 2010), , Coimbra, Portugal, 2010


    M.Sc. Thesis

    João Martins de Sousa, Calibration of Two-Dimensional Wildfire Propagation Model Using Metaheuristic Algorithms (1/2023) Supervised by Jérôme Mendes and Rui Alexandre Matos Araújo


    Gonçalo Paiva Gouveia, A Modular Architecture with Local Processing Methodologies for Industrial Cyber-Physical Systems (1/2023) Supervised by Jérôme Mendes and Rui Alexandre Matos Araújo


    Nuno Alexandre Gonçalves Mendes, Federated Learning for the Prediction of Net Energy Demand in Communities of Buildings (4/2022) Supervised by Jérôme Mendes and Pedro Moura


    Rodrigo Salles, Fault detection in wastewater treatment plant - Application and comparison of machine learning techniques with streaming data (4/2022) Supervised by João Gama and Jérôme Mendes


    Jorge Fernando Alvarinhas Pereira, Wildfire Spread Prediction Model Calibration Using Metaheuristic Algorithms (4/2022) Supervised by Jérôme Mendes and Cristiano Premebida


    Jorge Alves, Development of a Modular Hardware System for Industrial Environments (4/2022) Supervised by Jérôme Mendes and Lino Forte Marques


    Tomás Pedrosa, Computational Intelligence Techniques for Developing Virtual Sensors in Industrial Processes (4/2022) Supervised by Jérôme Mendes and Rui Alexandre Matos Araújo


    António Craveiro, Iterative Fuzzy Design for Identification and Control (9/2017) Supervised by Jérôme Mendes and Rui Alexandre Matos Araújo


    Nuno Miguel Santos de Sousa, Controlo Difuso Predictivo para Aplicação em Processos Industriais (11/2016) Supervised by Jérôme Mendes and Rui Alexandre Matos Araújo