Biography & Research:
Fermín Segovia received the B.Sc. degree in Computer Science and the Master degree in Computer Engineering and Networks from the University of Granada (Spain) in 2006 and 2009 respectively. In 2011, he obtained the PhD. degree from the same University.
From 2012 to 2014, he developed his research activity at the Cyclotron Research Centre (University of Liège, Belgium) and worked on the applications of multiple kernel learning approaches to neuroimaging data.
Since 2015 he is based at the Department of Signal Theory, Telematics and Communications (University of Granada, Spain). His main research interests include neuroimage processing and biomedical applications.