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Balduíno Patrício César Mateus holds a degree in Electromechanics, an MSc in Industrial Management Engineering and an MSc in Electrical Engineering from Coimbra Institute of Engineering (ISEC), Portugal, and a PhD in Industrial Management Engineering from the University of Beira Interior. His main research interests are in the area of production optimization through Artificial Supported Condition Maintenance Policies (Artificial Intelligence Supported on Condition Maintenance Policies). Balduíno Mateus is a teacher at ISEC and currently works at the Lusófona University of Lusófona, as a teacher and researcher. He also is a member of two prestigious research centres: CISE - Electromechatronic Systems Research Centre and RCM2+ - Research Centre for Asset Management and Systems Engineering.
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Identification

Personal identification

Full name
Balduino Patrício César Mateus

Citation names

  • Mateus, Balduino
  • Balduíno César Mateus

Author identifiers

Ciência ID
441F-19DD-EE2A
ORCID iD
0000-0002-1953-7268
Google Scholar ID
kKQp9NgAAAAJ
Scopus Author Id
57218582760

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Automation and Control Systems
Affiliation

Science

Category
Host institution 		Employer
2023/06/01 - Current Researcher (Research) Universidade Lusófona, Portugal
RCM2+ Centro de Investigação em Gestão de Ativos e Engenharia de Sistemas., Portugal
2019/10 - Current Researcher (Research) Universidade da Beira Interior, Portugal
Universidade da Beira Interior Centro de Investigação em Sistemas Electromecatrónicos, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2019/11/08 - Current Assistant (University Teacher) Universidade Lusófona, Portugal
2023/02/27 - 2023/07/27 Invited Assistant (Polytechnic Teacher) Instituto Politécnico de Coimbra, Portugal
Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra, Portugal

Others

Category
Host institution 		Employer
2022/05/16 - 2022/12/02 Formador Instituto Politécnico de Coimbra, Portugal
Projects

Contract

Designation Funders
2025/01/02 - Current TransferSIMS: Transferência de tecnologia SIMS
17797
COFAC - Cooperativa de Formação e Animação Cultural CRL, Portugal

Universidade Lusófona do Porto, Portugal
Ongoing
Outputs

Publications

Conference paper
  1. Balduíno César Mateus. "Previsão Multivariada De Uma Prensa Industrial Usando Rede Neural Recorrente GRU, Congresso Nacional de Manutenção". Paper presented in CONGREGA, Coimbra, 2022.
  2. "Previsão Multivariada De Uma Prensa Industrial Usando Rede Neural Recorrente GRU". Paper presented in Congresso Nacional de Manutenção, Braga, 2021.
  3. "Revisão e Diagnóstico de Avarias de uma Prensa Industrial, com Análise FMECA e Redes Neuronais". Paper presented in Congresso Nacional de Manutenção., Aveiro, 2021.
  4. "Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models – A Case Study in a Pulp Paper Industry.". Paper presented in TEPEN 2021 & IncoME-VI., Tinanjin, 2021.
  5. "Previsão da produção de aço na Alemanha - Uma abordagem através de séries temporais, com extrapolação para a manutenção industrial.". Paper presented in 15.º Congresso Nacional de Manutenção, Braga, 2019.
Journal article
  1. Alexandre Martins; João Rodrigues; Balduíno Mateus; Inácio Fonseca; José Torres Farinha. "A new adaptable data-driven model approach for applying predictive maintenance in industrial systems through confidence sphere and the HMM-SVM method". Results in Engineering (2025): https://doi.org/10.1016/j.rineng.2025.108131.
    10.1016/j.rineng.2025.108131
  2. Balduíno César Mateus; Mateus Mendes; José Torres Farinha; Alexandre Martins. "Hybrid Deep Learning for Predictive Maintenance: LSTM, GRU, CNN, and Dense Models Applied to Transformer Failure Forecasting". Energies (2025): http://dx.doi.org/10.3390/en18215634.
    10.3390/en18215634
  3. Balduíno César Mateus; Mateus Mendes; José Torres Farinha. "Production optimization indexed to market demand using deep neural networks". International Journal on Interactive Design and Manufacturing (IJIDeM) (2025): https://doi.org/10.1007/s12008-025-02386-4.
    10.1007/s12008-025-02386-4
  4. Balduíno César Mateus; José Torres Farinha; Mateus Mendes. "Fault Detection and Prediction for Power Transformers Using Fuzzy Logic and Neural Networks". Energies (2024): https://doi.org/10.3390/en17020296.
    10.3390/en17020296
  5. Balduíno César Mateus; Mateus Mendes; José Torres Farinha; António Marques Cardoso; Rui Assis; Hamzeh Soltanali. "Improved GRU prediction of paper pulp press variables using different pre-processing methods". Production & Manufacturing Research (2023): https://doi.org/10.1080/21693277.2022.2155263.
    10.1080/21693277.2022.2155263
  6. Alexandre Martins; Balduíno Mateus; Inácio Fonseca; José Torres Farinha; João Rodrigues; Mateus Mendes; António Marques Cardoso. "Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and Hidden Markov Models". Energies (2023): https://doi.org/10.3390/en16062651.
    10.3390/en16062651
  7. Mateus, Balduíno César; Mendes, Mateus; Farinha, José Torres; Cardoso, António J. Marques; Assis, Rui; da Costa, Lucélio M.. "Forecasting Steel Production in the World—Assessments Based on Shallow and Deep Neural Networks". Applied Sciences (2023): https://www.mdpi.com/2076-3417/13/1/178.
    10.3390/app13010178
  8. Balduino Mateus; mateus mendes; José Torres Farinha; Rui Assis; Cardoso, A. J. M.. "Comparing LSTM and GRU Models to Predict the Condition of a Pulp Paper Press". Energies (2021): https://www.mdpi.com/1996-1073/14/21/6958.
    10.3390/en14216958
  9. Mateus, Balduíno César; Mendes, Mateus; Farinha, José Torres; Cardoso, António Marques. "Anticipating Future Behavior of an Industrial Press Using LSTM Networks". Applied Sciences 11 13 (2021): 6101. http://dx.doi.org/10.3390/app11136101.
    10.3390/app11136101
  10. Mateus, Balduino. "Production Optimization versus Asset Availability – a Review". WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 15 (2020): http://dx.doi.org/10.37394/23203.2020.15.33.
    10.37394/23203.2020.15.33
Distinctions

Award

2021 Young Engineer Innovation Award 2021
Ordem dos Engenheiros, Portugal