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Alexandre D. B. Martins has a background in Mechanical Engineering and completed a master degree in Industrial Engineering and Management, where he had the opportunity to deepen and acquire extensive knowledge in Industrial Engineering. Currently, he is Ph.D. in the same field, focusing on metrology and artificial intelligence tools as support for condition maintenance and asset management. On a professional level, Alexandre works at Lusófona University as a teacher and researcher, being a member of the RCM2+ - Research Center for Asset Management and Systems Engineering and the CISE - Electromechatronic Systems Research Center.
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Identification

Personal identification

Full name
Alexandre Daniel Batista Martins

Citation names

  • Martins, A. B.

Author identifiers

Ciência ID
1818-2BD6-9240
ORCID iD
0000-0001-9947-0894
Scopus Author Id
57219093082

Email addresses

  • alex_bmts@hotmail.com (Personal)

Telephones

Mobile phone
  • 916835444 (Personal)

Addresses

  • Av. Campo Grande, 376 , 1749-024, Lisboa, Lisboa, Portugal (Professional)

Knowledge fields

  • Engineering and Technology

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Education
Degree Classification
2019/11/01 - 2023/12/22
Concluded
 Industrial Engineering and Management (Doutoramento)
Universidade da Beira Interior, Portugal
"Industrial Sensors Online Monitoring and Calibration Through Hidden Markov Models" (THESIS/DISSERTATION)
2017/09/01 - 2019/07/05
Concluded
 Industrial Engineering and Management (Mestrado)
Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra, Portugal
"Gestão de Laboratório de Calibração de Equipamentos de Análises de Vibrações " (THESIS/DISSERTATION)
 15
2011/09/15 - 2015/09/14
Concluded
 Mechanical Engineering (Licenciatura)
Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra, Portugal
 12
Affiliation

Science

Category
Host institution 		Employer
2023/06 - Current Researcher (Research) Lusófona University, RCM2+ Research Centre for Asset Management and Systems Engineering, Portugal
2019/10 - Current Researcher (Research) Universidade da Beira Interior, Electromechatronic Systems Research Centre, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2021 - Current Assistant Professor (University Teacher) Universidade Lusófona de Humanidades e Tecnologias, Portugal
2023/09/01 - 2024/01/31 Invited Associate Professor (University Teacher) Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra, Portugal
2019/10/01 - 2021 Tutor (University Teacher) Universidade Lusófona de Humanidades e Tecnologias, Portugal

Other Careers

Category
Host institution 		Employer
2018/10 - 2019/04 Técnico Superior (Técnico Superior) Instituto de Soldadura e Qualidade, Portugal
2017/03 - 2017/06 Técnico Superior (Técnico Superior) SmartInject, Lda, Portugal
2016/01 - 2016/10 Técnico Superior (Técnico Superior) SOMEMA MOLDES, Portugal
Projects

Grant

Designation Funders
2022/05/05 - 2022/07/06 Project SSHARE
871284
Researcher
NATIONAL NUCLEAR RESEARCH CENTER (NNRC) CJSC, PIC: 900483496, Azerbaijan
Concluded
Outputs

Publications

Book chapter
  1. Alexandre Martins; Balduíno Mateus; Mateus Mendes; José Torres Farinha; Alexandre Batista Martins; António Marques Cardoso. "Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models—A Case Study in a Pulp Paper Industry". 11-25. Springer International Publishing, 2022.
    10.1007/978-3-030-99075-6_2
Conference paper
  1. Martins, A.; Fonseca, I.; Farinha, J. T.; Rodrigues, J. A.. "Monitorização online para diagnóstico do estado de equipamentos através de Modelos Ocultos de Markov". Paper presented in 16º Congresso Nacional de Manutenção - APMI, Aveiro, 2021.
    Published
  2. Rodrigues, J.; Farinha, J. T.; Mendes, M.; Martins, A.; Mateus, B.. "Previsão e Diagnóstico de Avarias de uma Prensa Industrial, com Análise FMECA e Redes Neuronais". Paper presented in 16º Congresso Nacional de Manutenção - APMI, Novembro., Aveiro, 2021.
  3. Mateus, B.; Mendes, M.; Farinha, J. T.; Martins, A.; Cardoso, A. M.. "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.
  4. Martins, Alexandre B.; Rodrigues, J.; Farinha, J.. "Laboratório de Metrologia no apoio à Manutenção de Condição". Paper presented in 15º Congresso Nacional de Manutenção, Braga, 2019.
  5. Rodrigues, J.; Martins, A. B.; Farinha, J.; Margalho, L.. "Análise Multivariada de Óleos Lubrificantes". Paper presented in 15º Congresso Nacional de Manutenção - APMI, Braga, 2019.
Journal article
  1. 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 18 21 (2025): https://www.scopus.com/pages/publications/105021570848.
    Open access • Published • 10.3390/en18215634
  2. Alexandre Martins; Inácio Fonseca; José Torres Farinha; João Reis; António J. Marques Cardoso. "Prediction maintenance based on vibration analysis and deep learning – A case study of a drying press supported on a Hidden Markov Model". Applied Soft Computing (2024): https://doi.org/10.1016/j.asoc.2024.111885.
    10.1016/j.asoc.2024.111885
  3. 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
  4. Alexandre Martins; Inácio Fonseca; José Torres Farinha; João Reis; António J. Marques Cardoso. "Online Monitoring of Sensor Calibration Status to Support Condition-Based Maintenance". Sensors (2023): https://doi.org/10.3390/s23052402.
    10.3390/s23052402
  5. Alexandre Martins; João Carlos Antunes Rodrigues; Mateus Mendes; José Torres Farinha; Ricardo Mateus; Cardoso, A. J. M.. "Automatic Risk Assessment for an Industrial Asset Using Unsupervised and Supervised Learning". Energies 15 24 (2022): 9387-9387. http://dx.doi.org/10.3390/en15249387.
    10.3390/en15249387
  6. Alexandre Martins; Inácio Fonseca; José Torres Farinha; João Carlos Gonçalves dos Reis; Cardoso, A. J. M.. "Maintenance Prediction through Sensing Using Hidden Markov Models—A Case Study". Applied Sciences (2021): https://www.mdpi.com/2076-3417/11/16/7685.
    10.3390/app11167685
  7. Martins, Alexandre. "Calibration and Certification of Industrial Sensors – a Global Review". WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 15 (2020): http://dx.doi.org/10.37394/23203.2020.15.41.
    10.37394/23203.2020.15.41
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2021/11 Monitorização online para diagnóstico do estado de equipamentos através de Modelos Ocultos de Markov 16º Congresso Nacional de Manutenção - APMI
(Aveiro, Portugal)
2019/11 Laboratório de Metrologia no apoio à Manutenção de Condição 15º Congresso Nacional de Manutenção
(Braga, Portugal)
Distinctions

Award

2023 Editor's Choice Article - Sensors
MDPI AG, Switzerland
2022 Young Engineer Innovation Award 2022
Ordem dos Engenheiros, Portugal