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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.

Ali Abdollahi Gharbali - Research and Development Team
Short Bio

Ali Abdollahi Gharbali is PhD candidate of electrical and computer engineering program at Nova university of Lisbon. He is Also a researcher at CA3-Computational Intelligence Research Group of UNINOVA.

He received his MSc degree in signal processing in 2008 from university of Tabriz, Iran. His master thesis focus was on speech signal enhancement using combinational adaptive filtering.

In PhD, he is using artificial intelligence techniques for biomedical signal processing. Specifically, his PhD thesis is on the application of deep learning techniques for efficient and reliable automatic sleep stage classification.

Research Interests
  • Polysomnographic (PSG) Signal Processing
  • Sleep Classification
  • Artificial Neural Networks
  • Deep Learning
  • Extreme Learning Machines (ELM)
Current Projects
  • Deep Sleep
Publications - Journal Publications:
  • Najdi, S., Gharbali, A. A., & Fonseca, J. M. (2016). Feature Ranking and Rank Aggregation for Automatic Sleep Stage Classification: A Comparative Study. Submitted to BioMedical Engineering OnLine.
Publications - Conference Proceedings:
  • 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.
  • 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.
  • Mokryani, G., Haghifam, M.-R., Latafat, H., Aliparast, P., & Abdollahy, A. (2010a). Detection of inrush current based on wavelet transform and LVQ neural network. In IEEE PES T&D 2010 (pp. 1–5). IEEE.
  • Mokryani, G., Haghifam, M.-R., Latafat, H., Aliparast, P., & Abdollahy, A. (2010b). Detection of inrush current using S-Transform and Probabilistic Neural Network. In IEEE PES T&D 2010 (pp. 1–6). IEEE.
  • Mokryani, G., Haghifam, M.-R., Latafat, H., Aliparast, P., & Abdollahy, A. (2009). Analysis of ferroresonance in a 20kV distribution network. In 2009
  • 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS) (pp. 31–35). IEEE.
  • Abdollahy, A., Geravanchizadeh, M. (2008). Speech enhancement using combinational adaptive filtering. In 2008 International Symposium on Telecommunications (pp. 774–777). IEEE.
  • Geravanchizadeh, M., Abdollahy, A., Rastegarnia, A. (2008). Using Convex Combination of Two Transversal Filters for Adaptive Equalizer Application. In IEEE Conference on Signal Processing, (WOSPA 2008).
  • Geravanchizadeh, M., Karimi, S., Abdollahy, A. (2008). Improvement of Comb Filter Efficiency Based on Fractional Delay Filters. In IEEE Conference on Signal Processing, (WOSPA 2008).
  • Abdollahy, A., Rastegarnia, A., Geravanchizadeh, M. (2008). Using Combination of Two LMS Filters for Equalization Enhancement. In International Conference of Electrical Engineering Azad University of Najaf Abad.
  • Abdollahy, A., Rastegarnia, A. (2007). Reducing Impulse Noise in Image with Employing of RCM and CWM Filters. In International Conference of Electrical Engineering Azad University of Najaf Abad.
  • Rastegarnia, A., Yousefi, T., Abdollahy, A. (2007). Survey of Cross-Layer Design in the Wireless Network, In Specialized Seminar on Telecommunication Standard and Protocols.

Research Engineer

Edifício CTS/UNINOVA, Sala 1.4