Francesc J. Ferri received the Licenciado degree in Physics (Electricity, Electronics and Computer Science) in 1987 and the Ph.D. degree in Pattern Recognition in 1993 both from the Universitat de València.

Since 2008, Dr. Ferri holds a professorship in the Computer Science Department (formerly Computer Science and Electronics) of the Universtitat de València where he has been since 1986 when he won a national FPI fellowship.

He has been involved in a number of scientific and technical projects on Computer Vision and Pattern Recognition including a sabbatical year in 1993 with the Vision, Speech and Signal Processing group in the University of Surrey, UK, and a sabbatical semester in 2005 with the Pattern Recognition and Image Processing Lab in the Michigan State University, USA.

Up to 2011, he has authored or coauthored about 140 conference and journal papers on several aspects of Computer Vision and Pattern Recognition. 54 of these have received more than 300 citations in SCI (h=11) without taking into account his most cited contribution (71 citations in SCI) about large-scale feature selection in the historical series Pattern Recognition in Practice.

His current research interests include Statistical Pattern Recognition Methodology, Nonparametric Classification Methods, Subspace, Manifold and Metric Learning, Neural and Kernel methods and Image Analysis and Recognition.

Dr. Ferri is a member of the Spanish Society for Pattern Recognition and Image Analysis (AERFAI), the International Association for Pattern Recognition (IAPR), the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronic Engineers (IEEE).