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Fernando J. Alvarez

Dr. Fernando J. Alvarez

Sensory Systems Research Group, University of Extremadura, 06006 Badajoz, Spain

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Fernando J. Álvarez received an M.Sc. degree in Physics from the University of Sevilla, Spain, in 1998; a Ph.D. degree in Electronics from the University of Alcalá, Alcalá de Henares, Spain, in 2006; an M.Sc. degree in Electronic Engineering from the University of Extremadura, Badajoz, Spain, in 2012; and an M.Sc. degree in Signal Theory and Communications from the University of Vigo, Vigo, Spain, in 2014. Since 2001, he has been with the Department of Electrical Engineering, Electronics and Automation at the University of Extremadura, Spain, where he is currently a Full Professor and the Head of the Sensory Systems Research Group. In 2008, he joined the Intelligent Sensors Laboratory, Yale University, New Haven, CT, USA, as a Postdoctoral “Jose Castillejo” Fellow. His current research interests include local positioning systems, acoustic signal processing, and embedded computing.

Research Keywords & Expertise

Digital Signal Process...
embedded computing
acoustic sensing
Location-based service...
Local positioning syst...

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22%
Local positioning systems
5%
Location-based services

Short Biography

Fernando J. Álvarez received an M.Sc. degree in Physics from the University of Sevilla, Spain, in 1998; a Ph.D. degree in Electronics from the University of Alcalá, Alcalá de Henares, Spain, in 2006; an M.Sc. degree in Electronic Engineering from the University of Extremadura, Badajoz, Spain, in 2012; and an M.Sc. degree in Signal Theory and Communications from the University of Vigo, Vigo, Spain, in 2014. Since 2001, he has been with the Department of Electrical Engineering, Electronics and Automation at the University of Extremadura, Spain, where he is currently a Full Professor and the Head of the Sensory Systems Research Group. In 2008, he joined the Intelligent Sensors Laboratory, Yale University, New Haven, CT, USA, as a Postdoctoral “Jose Castillejo” Fellow. His current research interests include local positioning systems, acoustic signal processing, and embedded computing.