Carlos Augusto Isaac Piló Viegas Damásio

Associate Professor, DI - Departamento de Informática
Associate Professor, NOVALincs

Former affiliation

Associate Professor, CENTRIA – Centro de Inteligência Artificial

https://orcid.org/0000-0001-8145-3260

Phone+351 21 2948536 , +351 21 294 85 41
Emailcd@fct.unl.pt

Faculdade de Ciências e Tecnologia - Universidade Nova de Lisboa, Departamento de Informática - Room P2/12, Quinta da Torre
2829-516 Caparica
Portugal
Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa, Departamento de Informática, Quinta da Torre
2829-516 CAPARICA
Portugal

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Education/Academic qualification

Computer Science, Doctorate, Universidade NOVA de Lisboa

Award Date: 24 Oct 1996

Computer Science, Bachelor, Faculdade de Ciências e Tecnologia (FCT)

Award Date: 1 Sep 1992

Fingerprint

Dive into the research topics where Carlos Augusto Isaac Piló Viegas Damásio is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

6 Similar Profiles

Network

Recent external collaboration on country level. Dive into details by clicking on the dots or

646 Citations
15 h-Index
28 Conference contribution
13 Article
2 Book
1 Chapter

Data fusion approach for eucalyptus trees identification
Oliveira, D., Martins, L., Mora, A., Damásio, C., Caetano, M., Fonseca, J. & Ribeiro, R. A., 2021, In : International Journal Of Remote Sensing. 42, 11, p. 4087-4109 23 p.
Research output: Contribution to journal › Article

Open Access
File
2 Downloads (Pure)
Assessment of interventions in fuel management zones using remote sensing
Afonso, R., Neves, A., Damásio, C. V., Pires, J. M., Birra, F. & Santos, M. Y., 7 Sep 2020, In : ISPRS International Journal of Geo-Information. 9, 9, 9090533.
Research output: Contribution to journal › Article

Open Access
File
2 Citations (Scopus)
Application of Different Machine Learning Strategies for Current- And Vibration-based Motor Bearing Fault Detection in Induction Motors
Rações, H. D. L., Ferreira, F. J. T. E., Pires, J. M. & Damásio, C. V., Oct 2019, Proceedings: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, p. 68-73 6 p. 8927129. (IECON Proceedings (Industrial Electronics Conference); vol. 2019-October).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus)
Severity estimation of stator winding short-circuit faults using cubist
dos Santos, T., Ferreira, F. J. T. E., Pires, J. M. & Damásio, C. V., 1 Jan 2017, Progress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Proceedings. Springer Verlag, Vol. 10423 LNAI. p. 217-228 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10423 LNAI).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Stator winding short-circuit fault diagnosis in induction motors using random forest
Dos Santos, T., Ferreira, F. J. T. E., Pires, J. M. & Damasio, C., 3 Aug 2017, 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017. Institute of Electrical and Electronics Engineers Inc., 8002350
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
12 Citations (Scopus)

Education/Academic qualification

Data fusion approach for eucalyptus trees identification

Assessment of interventions in fuel management zones using remote sensing

Application of Different Machine Learning Strategies for Current- And Vibration-based Motor Bearing Fault Detection in Induction Motors

Severity estimation of stator winding short-circuit faults using cubist

Stator winding short-circuit fault diagnosis in induction motors using random forest