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Ph.D. in Mechanical Engineering (2025) and Integrated Master’s (2020) from the University of Aveiro, where he also served as a Teaching Assistant in the Department of Mathematics. Currently holds a Post-Doctoral research grant within the ILLIANCE industrial R&D project, continuing a sustained track record of engagement in large-scale industrial cooperation projects. He has played research roles in both the ILLIANCE and Augmented Humanity projects (PhD Fellow), contributing to the development of advanced industrial automation systems. His main research focus is Automation, with particular emphasis on Industrial IoT and Machine Learning applications in manufacturing contexts. He has published four journal articles and one book chapter, and has received two academic awards. His work often explores themes such as Edge Computing, Computer Vision, Machine Learning, Artificial Intelligence, Predictive Maintenance, and Industry 4.0/5.0.
Identification

Personal identification

Full name
Diogo Filipe Duarte Costa

Citation names

  • Costa, Diogo

Author identifiers

Ciência ID
9F13-B7C6-FBFE
ORCID iD
0000-0002-4995-0539

Knowledge fields

  • Engineering and Technology - Mechanical Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2)
Education
Degree Classification
2020/10 - 2025/02/05
Concluded
Engenharia Mecânica (Doutoramento)
Universidade de Aveiro, Portugal
"Development of Embedded Maintenance Algorithms for Equipment Failure Forecast" (THESIS/DISSERTATION)
2015/07 - 2020/08
Concluded
Engenharia Mecânica (Mestrado integrado)
Universidade de Aveiro, Portugal
"Proposal of a Traceability 4.0 System in Renault CACIA Using Blockchain Technologies" (THESIS/DISSERTATION)
Affiliation

Science

Category
Host institution
Employer
2025/03/01 - Current Postdoc (Research) Universidade de Aveiro, Portugal

Teaching in Higher Education

Category
Host institution
Employer
2021/07 - Current Assistant (University Teacher) Universidade de Aveiro, Portugal

Others

Category
Host institution
Employer
2020/02 - 2020/06 Estágio Curricular Renault Cacia S.A., Portugal
Projects

Contract

Designation Funders
2025/03/01 - Current Agenda Mobilizadora para a Inovação Empresarial ILLIANCE
Post-doc Fellow
Universidade de Aveiro, Portugal
Ongoing
2023/07/01 - 2024/12/31 Agenda Mobilizadora para a Inovação Empresarial ILLIANCE
PhD Student Fellow
Universidade de Aveiro, Portugal
Ongoing
2021/01/01 - 2023/06/30 Augmented Humanity
LISBOA-01-0247-FEDER-046103
PhD Student Fellow
Universidade de Aveiro, Portugal
Concluded
Outputs

Publications

Book chapter
  1. Diogo Costa; Eugénio M. Rocha; Pedro Ramalho. "Minimizing False-Rejection Rates in Gas Leak Testing Using an Ensemble Multiclass Classifier for Unbalanced Data". 2022.
    10.1007/978-3-031-20319-0_32
Conference paper
  1. Vasco Costa; Diogo Costa; Eugénio M. Rocha. "A Smart Tool to Unlock Hidden Insights in Industrial Data by Leveraging EDA, LLM, Conformal Prediction, and AutoML". 2025.
    10.1016/j.procs.2025.01.321
  2. Joana Martins; Diogo Costa; Eugénio M. Rocha. "Variables influence analysis of gas leak testing using belief propagation over factor graphs". 2023.
    10.1016/j.procs.2022.12.311
  3. Daniel Coelho; Diogo Costa; Eugénio M. Rocha; Duarte Almeida; José P. Santos. "Predictive maintenance on sensorized stamping presses by time series segmentation, anomaly detection, and classification algorithms". 2022.
    10.1016/j.procs.2022.01.318
Journal article
  1. Costa, Diogo; Pereira, Diogo; Brochado, Ângela F.; Rocha, Eugénio M.. Corresponding author: Costa, Diogo. "Low-cost and non-intrusive human digital twin component for task and navigation tracking through pose estimation". CIRP Journal of Manufacturing Science and Technology 61 (2025): 233-248. https://doi.org/10.1016/j.cirpj.2025.05.012.
    Published • 10.1016/j.cirpj.2025.05.012
  2. Costa, Diogo; Vasco Costa; Rocha, Eugénio M.. Corresponding author: Costa, Diogo. "A new parametric information-gain criterion for tree-based machine learning algorithms". PeerJ Computer Science (2025):
    Open access • Under revision
  3. Diogo Costa; Eugénio M. Rocha; Nelson Ferreira. "Estimating data complexity and drift through a multiscale generalized impurity approach". Journal of Computational Mathematics and Data Science (2024): https://doi.org/10.1016/j.jcmds.2024.100098.
    10.1016/j.jcmds.2024.100098
  4. Ângela F. Brochado; Eugénio M. Rocha; Diogo Costa. "A Modular IoT-Based Architecture for Logistics Service Performance Assessment and Real-Time Scheduling towards a Synchromodal Transport System". Sustainability (2024): https://doi.org/10.3390/su16020742.
    10.3390/su16020742
  5. Diogo Costa; Miguel Teixeira; Armando N. Pinto; José Santos. "High-performance blockchain system for fast certification of manufacturing data". SN Applied Sciences (2022): https://doi.org/10.1007/s42452-021-04909-6.
    10.1007/s42452-021-04909-6
  6. Nuno Fernandes; Daniela Costa; Diogo Costa; José Keating; Joana Arantes. "Predicting COVID-19 Vaccination Intention: The Determinants of Vaccine Hesitancy". Vaccines 9 10 (2021): 1161-1161. https://doi.org/10.3390/vaccines9101161.
    10.3390/vaccines9101161
Thesis / Dissertation
  1. Costa, Diogo Filipe Duarte. "Proposal of a traceability 4.0 system in Renault CACIA using blockchain technologies". Master, 2020. http://hdl.handle.net/10773/31446.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2023/05 PMSP: An IoT Suite for Smart Industrial Monitoring TEchMA 2023 – 6th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing.
Universidade de Aveiro (Aveiro, Portugal)
2022/11 Variables influence analysis of gas leak testing using belief propagation over factor graph ISM 2022 - 4th International Conference on Industry 4.0 and Smart Manufacturing.
Upper Austria University of Applied Sciences
2022/09 Minimizing False-Rejection Rates in Gas Leak Testing Using an Ensemble Multiclass Classifier for Unbalanced Data ARTIIS 2022 - International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability.
Xunta Cultura y Educación Secretaría Xeral de Política Lingüística (Santiago de Compostela, Spain)
2022/07 Development of Embedded Maintenance Algorithms for Equipment Failure Forecast Research Summit 2022
Universidade de Aveiro (Aveiro, Portugal)
2022/05 Classifying False-Rejections of Manufacturing Processes: A multiclass classification approach for rejection analysis in unbalanced manufacturing data TEchMA 2022 – 5th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing.
Universidade de Aveiro (Aveiro, Portugal)
2021/07 Development of Embedded Maintenance Algorithms for Equipment Failure Forecast Research Summit 2021
Universidade de Aveiro (Aveiro, Portugal)

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2024/02 - 2024/08 Teoria da Confiabilidade e Análise de Falhas/Flexible Realibility Theory Industrial Intelligence (Especialização pós-licenciatura) Universidade de Aveiro, Portugal
2024/02 - 2024/05 Seminário Mestrado em Ciências de Dados/Seminar: Master's in Data Science Mestrado em Ciência de Dados (Mestrado) Universidade de Aveiro, Portugal
2022/02 - 2023/08 Cálculo II/Calculus II (Licenciatura) Universidade de Aveiro, Portugal
2021/07 - 2023/02 Cálculo I/Calculus I (Licenciatura) Universidade de Aveiro, Portugal
2021/02 - 2021/06 Matemática Discreta/Discrete Mathematics (Academic Support) (Licenciatura) Universidade de Aveiro, Portugal

Journal scientific committee

Journal title (ISSN) Publisher
2024 - 2024 International Journal of Pervasive Computing and Communications (1742-738X) Emerald Publishing Limited
2022 - 2022 IEEE Access ( 2169-3536) Institute of Electrical and Electronics Engineers
2021 - 2021 IEEE Transactions on Industrial Informatics (1941-0050) Institute of Electrical and Electronics Engineers
Distinctions

Award

2023 Best Paper Award - 17th International Congress on Logistics and SCM Systems (ICLS2023)
2022 Best Oral Presentation in session Sustainable Manufacturing Solutions - TechMA 2022
Universidade de Aveiro, Portugal