Ricardo Silva Peres

Researcher, CTS - Centro de Tecnologia e Sistemas
Researcher, UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
Invited Assistant Professor, DEE - Departamento de Engenharia Electrotécnica e de Computadores

https://orcid.org/0000-0003-3777-1346

Emailricardo.peres@uninova.pt, ra.peres@campus.fct.unl.pt

Portugal

Source: Scopus
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Personal profile

Education/Academic qualification

Electrical and Computer Engineering, Doctorate

Feb 2016 → 5 Dec 2019

Award Date: 5 Dec 2019

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125 Citations
5 h-Index
9 Conference contribution
4 Article
2 Chapter

Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook
Peres, R. S., Jia, X., Lee, J., Sun, K., Colombo, A. W. & Barata, J., 7 Dec 2020, In: IEEE Access.
Research output: Contribution to journal › Article › peer-review

Open Access
File
2 Citations (Scopus)

7 Downloads (Pure)
Agent-based plug and produce cyber-physical production system - Test case
Rocha, A. D., Tripa, J., Alemão, D., Peres, R. S. & Barata, J., Jul 2019, Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019. Institute of Electrical and Electronics Engineers Inc., p. 1545-1551 7 p. 8972169. (IEEE International Conference on Industrial Informatics (INDIN); vol. 2019-July).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Citations (Scopus)
Architectural Elements: PERFoRM Data Model
Peres, R. S., Rocha, A. D., Barata, J. & Colombo, A. W., 28 Oct 2019, Digitalized and Harmonized Industrial Production Systems. The PERFoRM Approach. Colombo, A. W., Gepp, M., Barata, J., Leitão, P., Barbosa, J. & Wermann, J. (eds.). CRC Press, p. 87-98
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
IFEVS Use Case
Introzzi, R., Perlo, P., Grosso, M., Pozzato, S., Biasiotto, M., Penserini, D., Sabato, G., De Pasquale, S., Ippolito, M., Cultrona, P., Hucke, M., Rocha, A. D., Peres, R. S. & Gepp, M., 28 Oct 2019, Digitalized and Harmonized Industrial Production Systems: The PERFoRM Approach. Colombo, A. W., Gepp, M., Oliveira, J. B., Leitão, P., Barbosa, J. & Wermann, J. (eds.). Taylor & Francis, 30 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Multistage Quality Control Using Machine Learning in the Automotive Industry
Peres, R. S., Barata, J., Leitão, P. & Garcia, G., 1 Jan 2019, In: IEEE Access. 7, p. 79908-79916 9 p., 8737933.
Research output: Contribution to journal › Article › peer-review

Open Access
15 Citations (Scopus)

Education/Academic qualification

Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook

Agent-based plug and produce cyber-physical production system - Test case

Architectural Elements: PERFoRM Data Model

IFEVS Use Case

Multistage Quality Control Using Machine Learning in the Automotive Industry