In 2006 Lucia Rita Quitadamo graduated in Biomedical Engineering at the University of Tor Vergata, Rome, with a thesis on the “Development of an acquisition platform of biomedical signals for Brain-Computer Interface (BCI)”. In 2006 she was awarded a fellowship by the Italian Space Agency within the Project “Motor and Cardiorespiratory Control Disorders” and her research dealt with the optimization of different BCI systems protocols and with the development of metrics for the evaluation of BCI systems performances. In 2006 she was qualified to work as a professional engineer (Italian College of Engineers) by the University of Tor Vergata, Rome, Italy. From the a.a 2007-2008 to the a.a. 2012-2013, she taught calculus and computational methods in the undergraduate degrees in “Clinical Physiology-Neurophysiology” and “Orthopedic Practitioner” courses of the University of Tor Vergata, Rome, Italy. In 2011 Lucia Rita Quitadamo graduated with her PhD, “Space Systems and Technologies”, from Department of Electronic Engineering of University of Tor Vergata, with the following thesis: “On the Optimization of Brain-Computer Interface Systems: from Model to Methods”. Her research was focused on the development and evaluation of BCI systems for Space applications. From 2009 to 2013 she was a research scientist at Fondazione Santa Lucia, Rome, Italy, a nationally renowned scientific institute for neuromotor rehabilitation. She worked within the European Projects TOBI- Tools for Brain-Computer Interaction and DECODER-”Deployment of Brain-Computer Interfaces for the Detection of Consciousness in Non-Responsive Patients”. The goals of her research activity were the standardization of BCI systems and the detection of mental states in non-responsive patients (vegetative, minimally conscious, locked-in states) by means of BCI technologies. From July 2013 to September 2015 Lucia Quitadamo was a post-doctoral fellow at the Department of Electronic Engineering of University of Tor Vergata, Rome. Her research focused on the development of processing and classification methods of physiological signals (EEG and EMG) for the implementation of HCI technology for disabled persons. From October 2015 Dr. Quitadamo is a Marie-Curie Post Doctoral fellow at the School of Life and Health Sciences, Aston University, Birmingham, UK. Her project EPINET (EPINET http://cordis.europa.eu/project/rcn/195032_en.html) aims at developing and validating innovative methods to localise and characterise non-invasively functional properties of the epileptogenic zone (EZ), i.e. the area responsible for the generation of epileptic seizures. During her career Dr. Quitadamo authored and co-authored international peer-reviewed articles in the field of BCI and physiological signal processing as well as many conference proceedings and attended numerous international conferences either as a speaker or a poster presenter.