FERNANDO BARBER MIRALLES
PDI-Titular d'Universitat
Coordinador/a Curs
Knowledge area: COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE
Department: Computer Science
(9635) 43950
Biography
Fernando Barber Miralles obtained his Bachelor's degree in Physics from the Universitat de Valencia in 1992. He served as an assistant professor at the Universitat Jaume I (UJI) in Castellón for a period of four years and subsequently at the Universitat de Valencia for an additional two years. From 1998 to 2020, he held the position of Associate Professor at the School of Computer Science, University of Valencia. He successfully completed his Doctoral degree from the Universitat de Valencia in March 2020, and since then, he has been serving as a Full Professor at the University.
His research journey commenced at the Integrated Laboratory of Intelligent Systems and Traffic Technologies (LISITT), where he contributed to various European (EQUATOR, CHIC) and Spanish projects. His focus was on temporal reasoning and constraint logic programming (CLP). Subsequently, he joined the GREV research group (http://grev.uv.es), directing his efforts towards research in Distributed Virtual Environments, Planning in Virtual Environments, Crowd Simulations, and Social Simulation in Multi-agent Systems. He actively participated in several Spanish projects and contributed to the development of the J-Madem library (https://www.uv.es/grimo/jmadem/). Currently, he is a member of the CoMMLab research group (http://commlab.uv.es/), where his work focuses on Biophysical Modeling and Simulation of the heart. This is the same research group where he conducted his doctoral research.
Subjects taught and teaching methods
Journal Publications
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Francisco Grimaldo; Miguel Lozano; Fernando Barber
(2011)
J-MADeM, a marked based model for complex decision problems. Logic Journal of the IGPL, 19(2), pp. 333 - 342
. ISSN: 1367-0751
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Participations in Conferences
F. Barber; M. Lozano; I. García-Fernández; R. Sebastian (2016). Inverse estimation of terminal connections in the cardiac conduction system. (Paper). International Conference on Computational and Mathematical Methods in Science and Engineering . SPAIN
F. Barber; M. Lozano; I. García-Fernández; R. Sebastian (2016). Automatic location of sources of electrical activation from electrophysiology maps. (Poster). Computing in Cardiology Computing in Cardiology, Vol. 43, pp. 445-448 . Vancouver . CANADA
F. Barber; M. Lozano; I. García-Fernández; R. Sebastian (2017). Estimation of Location and Activation Time of Purkinje Myocardial Junctions from Sparse and Noisy Endocardial Electrical Samples. (Poster). Computing in Cardiology Computing in Cardiology, Vol. 44, pp. XXX,YYY . Rennes . FRANCE
Fernando Barber; Miguel Lozano; Ignacio García-Fernández; Rafael Sebastian (2017). Inverse estimation of the cardiac conduction system. (Paper). Congreso de Jóvenes Investigadores de la RSME . Valencia . SPAIN
Fernando Barber; Pau Romero; Peter Langfield; Miguel Lozano; Ignacio García-Fernández; Josselin Duchateau; Mélèze Hocini; Michel Haïssaguerre; Edward Vigmond; Rafael Sebastian (2019). Estimation of a compatible cardiac conduction system from discrete endocarial time samples. (Paper). International Conference on Computational and Mathematical Biomedical Engineering . Sendai . JAPAN
Barber F.; Langfield P.; Lozano M.; Garcia-Fernandez I.; Duchateau J.; Meleze H.; Haissaguerre M.; Vigmond E.; Sebastian R (2021). Personalization of Ventricular Cardiac Conduction System Models to Reproduce Patient Electrocardiogram. (Paper). 48th Computing in Cardiology Proceedings of 48th Computing in Cardiology . Brno . CZECH REPUBLIC
J. Gimeno; I. García-Fernández; M. Pérez; I. Coma; F. Martínez-Gil; J. García- Calderaro; S. Casas; J.V. Albert; E. Durá; M. Lozano; I. García-Pereira; C. Portalés; F. Barber (2021). GENERALIZACIÓN DEL USO DE SISTEMAS DE CONTROL DE VERSIONES PARA LOS TRABAJOS PRÁCTICOS DEL GRADO DE MULTIMEDIA. (Communication). 7a Jornades d'Innovació Educativa Libro de Resúmenes . Valencia . SPAIN