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The CA3 group is composed of a research and development team and a group of qualified scientific advisors directly involved in R&D projects where CA3 is a partner.

We also have a variable number of visiting scientists and collaborators working with us. The former member section has previous group members.

Shirin Najdi - Research and Development Team
Short Bio

Shirin Najdi is a PhD candidate of the electrical and computer engineering department at Nova university of Lisbon. She is also a researcher at CA3- Computational Intelligence Research Group of UNINOVA.

Shirin has receivedher MSc degree in signal processing in 2011 from university of Tabriz, Iran.Her master thesis topic was about efficient audio fingerprinting using discrete wavelet transform.

Currently, in her PhD, she is focused on biomedical signalprocessing, specifically on the application of recent data mining techniquesfor sleep data representation.

Research Interests
  • Biomedical Signal Processing
  • Data Mining
  • Feature Extraction and Selection
  • Deep Learning
Current Projects
  • Deep Sleep
Publications - Journal Publications:
  • [1] Najdi, S., Gharbali, A. A., & Fonseca, J. M. (2016). Feature Ranking andRank Aggregation for Automatic Sleep Stage Classification: A Comparative Study. Submitted to BioMedical Engineering OnLine.
  • [2] Batista, A. G., Najdi, S., Godinho, D. M., Martins, C., Serrano, F. C.,Ortigueira, M. D., & Rato, R. T. (2016). A multichannel time-frequency and multi-wavelet toolbox for uterine electromyography processing and visualisation. Computers in Biology and Medicine, 0(0), 1215–1222.
Publications - Conference Proceedings:
  • [1] Gharbali, A. A., Fonseca, J. M., Najdi, S., & Rezaii, T. Y. (2016). Automatic EOG and EMG Artifact Removal Method for Sleep Stage Classification. In Technological Innovation for Cyber-Physical Systems (pp. 142–150). Springer.
  • [2] Najdi, S., Gharbali, A. A., & Fonseca, J. M. (2016). A Comparison of Feature Ranking and Rank Aggregation Techniques in Automatic Sleep Stage
    Classification Based on Polysomnographic Signals. In Bioinformatics and Biomedical Engineering (pp. 230–241). Springer.
  • [3] Najdi, S., Ebrahimi, A. (2013). Audio fingerprinting based on multiresolution analysis of Discrete Wavelet Transform. In 2013 10th International ISC Conference on Information Security and Cryptology (ISCISC) (pp. 1–5). IEEE.
Publications - Editor of the Proceeding Book:
  • Camarinha-Matos, L. M., Falcão, A. J., Vafaei, N., & Najdi, S. (2016). Technological Innovation for Cyber-Physical Systems: 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Costa de Caparica, Portugal, April 11-13, 2016, Proceedings. Springer International Publishing

Research Engineer

Edifício CTS/UNINOVA, Sala 1.4

Apoio FCT – Fundação para a Ciência e a Tecnologia no âmbito da Unidade de Investigação CTS - Centro de Tecnologia e Sistemas, referência UIDB/00066/2020