Alberto Abad Gareta

Alberto Abad Gareta

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Interesses científicos

Área de Especialização (FOS)

Engenharia Eletrotécnica, Eletrónica e Informática

Perfis externos

Produção científica

Biografia

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Alberto Abad obtained the Telecommunication Engineering degree on 2002 from Technical University of Catalonia (UPC). Between 2002 and 2006 he was a PhD student at the TALP Research Centre of the Department of Signal Theory and Communications of the Technical University of Catalonia, where he was supported by a Catalan Government grant. His Thesis was related with multi-microphone approaches to speech processing in smart-room environments. At UPC he participated in several European and National Spanish projects. He was also lecturer in the Telecommunication Engineering School of Barcelona and collaborating lecturer in the doctorate program of the Department of Signal Theory and Communications. In February 2007, Alberto Abad joined the Spoken Language Systems Lab (L2F) of INESC-ID and in July 2008 he obtained a Programa Ciência contract for 5 years. During that period at INESC-ID, Alberto Abad contributed to consolidate group's research lines and to open new strategic ones. He has been Principal Investigator of the FCT funded project VITHEA and INESC-ID representative in the DIRHA European project, besides team member in several national and international projects, and team leader in many international technological evaluation challenges achieving excellent results. He also collaborated in several courses of the Instituto Superior Técnico (IST) of the University of Lisbon. In August 2013, Alberto Abad was hired as an Invited Researcher and Professor at the IST, where was lecturer of the Mestrado Integrado em Engenharia Electrotécnica e de Computadores (MEEC) during the academic years 2013- 2014 and 2014-2015. In February 2015, Alberto Abad became Assistant Professor at the Department of Computer Science and Engineering (DEI) of the IST. His current research interests include robust speech recognition, speaker and language identification, computational acoustic scene analysis, multimedia, and health-care applications.