Prof. (Dr.) Francesc J. Ferri received a Licenciado degree in Physics (Electricity, Electronics and Computer Science) in 1987 and a Ph.D. degree in Pattern Recognition in 1993, both from the Universitat de València. Since 2008, Dr. Ferri has held a professorship in the Computer Science Department (formerly Computer Science and Electronics) of the Universitat 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.
He has authored or co-authored about 200 conference and journal papers on several aspects of Computer Vision and Pattern Recognition. His published works have accumulated more than 1500 citations, leading to an h-index of 19 in WoS (3560 and h=26 in Google Scholar).
His current research interests include Statistical Pattern Recognition Methodology, Nonparametric Classification Methods, Subspace, Manifold and Metric Learning, Kernel and Deep Neural methods in Machine Listening 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 Electronics Engineers (IEEE).
Prof. (Dr.) Francesc J. Ferri received a Licenciado degree in Physics (Electricity, Electronics and Computer Science) in 1987 and a Ph.D. degree in Pattern Recognition in 1993, both from the Universitat de València. Since 2008, Dr. Ferri has held a professorship in the Computer Science Department (formerly Computer Science and Electronics) of the Universitat 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.
He has authored or co-authored about 200 conference and journal papers on several aspects of Computer Vision and Pattern Recognition. His published works have accumulated more than 1500 citations, leading to an h-index of 19 in WoS (3560 and h=26 in Google Scholar).
His current research interests include Statistical Pattern Recognition Methodology, Nonparametric Classification Methods, Subspace, Manifold and Metric Learning, Kernel and Deep Neural methods in Machine Listening 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 Electronics Engineers (IEEE).