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).