Dr Tracey Camilleri

Dr Tracey Camilleri

Dr Tracey Camilleri


Senior Lecturer

Room 409
Engineering Building
University of Malta
  +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
  • ENR0011 - Engineering Technology
  • POD5050 - Foundations of Design in Orthotics and Prosthetics 1
  • 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.