JOSE MANUEL
IÑESTA QUEREDA
CATEDRATICO/A DE UNIVERSIDAD
Department: LENGUAJES Y SISTEMAS INFORMATICOS
Institute: I.U. DE INVESTIGACIÓN INFORMÁTICA
Area: Computer Languages and Systems
Research group: Shape Recognition and Artificial Intelligence
Email: inesta@ua.es
Doctor by the Universitat de València with the thesis Algoritmos de vision artificial y de reconocimiento de patrones para el estudio morfometrico del eje raquideo humano 1994. Supervised by Dr. M. Angeles Sarti.
José Manuel Iñesta Quereda graduated in Physics from the University of Valencia in 1987. From 1987 to 1992 he worked as an analyst-programmer at General ASDE, S.A. in Valencia, where he worked on the design and development of computer applications in medicine and psychology, including expert systems for audio-prosthetic diagnostics, nutrition analysis systems, or psycho-technical tests for drivers. He joined the academic world in 1990, beginning his doctoral thesis in the Faculty of Medicine of the University of Valencia, finishing it in the Faculty of Physics, on the use of computer vision and pattern recognition tools for morphometric analysis in 1994. He joined the Jaume I University in Castellón (where he taught between 1991 and 1998) and then moved to Alicante (1998 to present). He was associate professor since 1997 and since 2002 is full professor of the Department of Computer Languages and Systems. He was Deputy Director of this department between 2002 and 2005, and Head of Department between 2005 and 2009. He is the author or editor of 12 books, about 50 articles in national and international journals, about 50 book chapters and more than 150 papers presented at scientific conferences. Has been recognized with 5 research 6-years periods. He has participated in more than 30 research projects (12 as principal investigator) of national and international scope (3 European projects, like METAe, PASCAL and REPERTORIUM) in various fields, such as computer applications in medicine and psychology, analysis of medical images, the use of pattern recognition techniques and machine learning in music, robotics, and digital libraries. The latest projects he has been leading have been devoted to Computer Music Research. He has been involved in the organizing committee (including presidencies) of around than 20 scientific conferences of international scope (in the areas of Pattern Recognition, Computer Music, and Machine Learning) and has supervised or is currently supervising 13 doctoral theses. He is a member of the research group on Pattern Recognition and Artificial Intelligence of the University of Alicante. During the course 2021-2022 he has been a member of the Distributed Digital Music Archives & Libraries Lab in the Centre for Interdisciplinary Research in Music Media and Technology (CIRMMT) at Montreal (Canada). His main lines of research are the algorithms of classification and machine learning applied to signals in general and sound in particular, as well as all areas related to sound design and computer music, in its 3 main aspects: digital audio, symbolic music (digital sheet music) and metadata (including images with musical content).