Dr Tracey Camilleri

Dr Tracey Camilleri

Dr Tracey Camilleri

 B.Eng.(Hons)(Melit.),Ph.D.(Melit.),M.I.E.E.E.

Senior Lecturer

Room 409
Engineering Building
University of Malta
Msida
  +356 2340 3167
Dr Tracey Camilleri received the B.Eng(Hons.) and the Ph.D degrees from the University of Malta in 2004 and 2012 respectively. Her doctoral work, entitled "Multiple modelling of EEG data to classify different mental states", shows how switching multiple models can be used to automatically segment EEG data typical in sleep studies and EEG based brain computer interface systems.

Dr Camilleri started her career as a research assistant with the Department of Electronic Systems Engineering at the University of Malta and is currently a lecturer with the Department of Systems and Control Engineering. She is a member of the Institute of Electrical and Electronics Engineers (IEEE) and has acted as the IEEE Malta student branch councillor since 2008.

Her research interests include biomedical signal processing and human machine interfaces using biosignals such as electroencephalography (EEG), electrooculography (EOG) and electromyography (EMG).
  • Biomedical signal processing
  • Electroencephalography
  • Human machine interface systems
  • Brain-computer interfacing

Grech, C., Camilleri, T. & Bugeja, M.K. 2017, "Using neural networks for simultaneous and proportional estimation of upper arm kinematics", , July 2017.

Zerafa, R., Camilleri, T., Bartolo, K., Camilleri, K.P. & Falzon, O. 2017, "Reducing the training time for the SSVEP-based music player application", Biomedical Physics & Engineering Express, vol. 3, no. 3, pp. 034001.

Barbara, N. & Camilleri, T.A. 2016, "Interfacing with a speller using EOG glasses", Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference onIEEE, , pp. 001069.

Camilleri, T., Camilleri, K.P. & Fabri, S.G. 2016, "Using Switching Multiple Models for the Automatic Detection of Spindles", 1st International conference on sleep spindling, May 2016.

Zerafa, R., Camilleri, T., Falzon, O. & Camilleri, K.P. 2016, "A Real-Time SSVEP-Based Brain-Computer Interface Music Player Application", XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016Springer, , pp. 173.

Camilleri, T.A., Camilleri, K.P. & Fabri, S.G. 2015, "Segmentation and labelling of eeg for brain computer interfaces", International Conference on Computer Analysis of Images and PatternsSpringer, , pp. 288.

Camilleri, T.A., Camilleri, K.P. & Fabri, S.G. 2015, "Semi-supervised segmentation of EEG data in BCI systems", Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEEIEEE, , pp. 7845.

Camilleri, T.A., Camilleri, K.P. & Fabri, S.G. 2014, "Automatic detection of spindles and K-complexes in sleep EEG using switching multiple models", Biomedical Signal Processing and Control, vol. 10, pp. 117-127.

Zerafa, R., Camilleri, T., Falzon, O. & Camilleri, K.P. 2013, "Comparison of plain and checkerboard stimuli for brain computer interfaces based on steady state visual evoked potentials", Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference onIEEE, , pp. 33.

Fabri S. G, Camilleri K. P & Cassar T. 2011, "Parametric Modelling of EEG data for the Identification of Mental Tasks" in Biomedical Engineering, Trends in Electronics, Communications and Software, ed. A. N. Laskovski, InTech, .

T. Cassar, K.P. Camilleri & S.G. Fabri 2010, "Order estimation of multivariate ARMA models", IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 3, pp. 494-503.

Grech, R., Cassar, T., Muscat, J., Camilleri, K.P., Fabri, S.G., Zervakis, M., Xanthopoulos, P., Sakkalis, V. & Vanrumste, B. 2008, "Review on solving the inverse problem in EEG source analysis", Journal of neuroengineering and rehabilitation, vol. 5, pp. 25.

  • ENR0011 - Engineering Technology
  • ENR5026 - Science Communication in Engineering
  • SCE1201 - Dynamic Systems and Signals 1
Dr Tracey Camilleri is currently the coordinator of the BrainApp (R&I-2015-132-T) project, funded under the FUSION Technology Development Programme (TDP) 2017. The project is a collaboration between the University of Malta and Idox Health, formerly 6PM Group, and proposes the development of a novel brain computer interface application controlled directly with brain signals, opening up accessibility to individuals suffering from motor disabilities and providing alternative access methods to healthy individuals.

Together with Mr Nathaniel Barbara and Prof Kenneth Camilleri, in May 2017, Dr Tracey Camilleri was awarded first prize for the Malta scientific innovations award for the project EyeControl. The project focusses on the use of eye movements recorded through electrooculography (EOG) to provide the possibility for a subject with limited mobility to communicate or control his environment, rather than using standard interfaces such as keyboards and mice. This project also received the WIPO IP Enterprise trophy from the World Intellectual Property Organisation.

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