Javier Ortega-Garcia received the M.Sc. degree in electrical engineering (Ingeniero de Telecomunicacion), in 1989; and the Ph.D. degree "cum laude" also in electrical engineering (Doctor Ingeniero de Telecomunicacion), in 1996, both from Universidad Politecnica de Madrid, Spain. Dr. Ortega-Garcia is founder and co-director of the Biometric Recognition Group - ATVS. He is currently a Full Professor at the Escuela Politecnica Superior, Universidad Autnoma de Madrid, where he teaches Digital Signal Processing and Speech Processing courses. He also holds a Ph.D. degree course in Biometric Signal Processing. His research interests are focused on biometrics signal processing: speaker recognition, fingerprint recognition, on-line signature verification, data fusion and multibiometrics. He has published over 150 international contributions, including book chapters, refereed journal and conference papers. He chaired "Odyssey-04, The Speaker Recognition Workshop", co-sponsored by IEEE, and is currently co-chairing "ICB-09, the 3rd IAPR International Conference on Biometrics".
Joaquin Gonzalez-Rodriguez, received the M.S. degree in 1994; and the Ph.D. degree "cum laude" in 1999, both in electrical engineering, from Univ. Politecnica de Madrid (UPM), Spain. Dr. Gonzalez-Rodriguez is founder and co-director of the Biometric Recognition Group - ATVS. After 15 years of research and lecturing at UPM, he moved in May 2006 to the Computer Science Department at Univ. Autonoma de Madrid (UAM), Spain, an Associate Professor. Since July 2011 he is a Full Professor in the Electronic and Communication Technologies at UAM, where he leads the Speech group of ATVS. He has led ATVS participations in NIST Speaker (2001, 2002, 2004, 2005, 2006, 2008, 2010 & 2012) and Language (2005, 2007, 2009 & 2011) Recognition Evaluations, and 2003 NFI-TNO Forensic Speaker Recognition Evaluation. Dr. Gonzalez-Rodriguez is since 2000 an invited member of the FSAAWG (Forensic Speech and Audio Analysis Working Group) in ENFSI (European Network of Forensic Science Institutes). His research interests are focused on speaker and language recognition, forensics and biometrics, pattern recognition and signal processing. He is a member of ISCA and the Signal Processing Society of IEEE, and acted as vice-chair of Odyssey 2004 in Toledo (Spain). During academic term 2010-2011, he was on sabbatical leave as Visiting Scholar at ICSI (International Computer Science Institute) in the University of California at Berkeley.
Doroteo Torre Toledano received the Telecommunication Engineering degree from the Universidad Politecnica de Madrid, Spain, in 1997, obtaining the best academic records of his class. In 2001, he completed the Ph.D. degree in Telecommunication Engineering from the same university, receiving the Ph.D. Dissertation Award from the Spanish Association of Telecommunication Engineers. He was with the Speech Technology Division, Telefonica R&D, from 1994 to 2001. From April 2001 to October 2002, he was a Postdoctoral Research Associate with the Spoken Language Systems Group, Massachusetts Institute of Technology Laboratory for Computer Science. After another period at the Speech Technology Division of Telefonica R&D, he moved in March 2004 to the Universidad Autonoma de Madrid as Assistant Professor. His current research interests include acoustic modeling, speaker recognition, natural language processing, spoken dialogue systems, and multimodal human-computer interaction. He has a number of national and international scientific publications in this field and has participated in several EU funded projects as well as Spanish national projects. He has also participated as a member of the scientific committee of several international conferences.
Julian Fierrez received the MSc and the PhD degrees in electrical engineering in 2001 and 2006, respectively, both from Universidad Politecnica de Madrid, Spain. Since 2004 he is with Universidad Autonoma de Madrid, where he is currently working as an assistant researcher. Starting in early 2007, he will be a visiting researcher at Michigan State University for 2 years, under a Marie Curie Fellowship. His research interests include signal and image processing, pattern recognition and biometrics. He is actively involved in European projects focused on biometrics (e.g, Biosecure NoE) and is the recipient of a number of distinctions, including: best poster award at AVBPA 2003, 2nd best signature verification system at SVC 2004, Rosina Ribalta award to the best Spanish PhD proposal in 2005, Motorola best student paper at ICB 2006, and EBF European Biometric Industry Award 2006.
Dr. Daniel Ramos finished his PhD in 2007 in Universidad Autonoma de Madrid (UAM), Spain. From 2011, he is an Associate Professor at the UAM. He is a member of the ATVS - Biometric Recognition Group and the UAM Research Institute of Forensic Science and Security (ICFS). During his career, he has visited several research laboratories and institutions around the world, including the Institute of Scientific Police at the University of Lausanne (Switzerland), the School of Mathematics at the University of Edinburgh (Scotland), the Electrical Engineering school at the University of Stellenbosch (South Africa), and more recently the Netherlands Forensic Institute, where he has co-organized a workshop on the scientific validation of evidence evaluation methods. His research interests are focused on forensic evaluation of the evidence using Bayesian techniques, validation of forensic evaluation methods, speaker and language recognition, biometric systems and, more generally, signal processing and pattern recognition.
Dr. Ramos is actively involved in several projects focused on different aspects of forensic science, such as yearly R&D contracts with Spanish Guardia Civil, the EU FP7 Marie Curie Initial Training Network BBfor2 (Bayesian Biometrics for Forensics), or the Management Committee of the EU COST 1106 Action on Forensic Biometrics. He has received several distinctions and awards, highlighting the IBM Research Best Student Paper Award at the IEEE Odyssey 2006 Speaker and Language Recognition Workshop, and the Telecommunication Engineer Best PhD Thesis Award in 2007-2008 from the Official College of Spanish Telecommunication Engineers (Colegio Oficial de Ingenieros de Telecomunicacion, COIT). He is author of multiple publications in national and international journals and conferences. He has also participated in several international competitive evaluations of speaker and language recognition technology, such as NIST Speaker Recognition Evaluations since 2004, the Forensic Speaker Recognition Evaluation NFI/TNO 2003 and the NIST Language Recognition Evaluation since 2007. Dr. Ramos is regularly a member of scientific committees in different international conferences, and he is often invited to give talks in conferences and institutions.
Javier Galbally received the M.Sc. in Electrical Engineering in 2005 from Universidad de Cantabria, Spain, and the Ph.D. degree in Electrical Engineering in 2009, from Universidad Autonoma de Madrid, Spain, where he is currently working as an assistant professor. He has carried out different research internships at worldwide leading groups in biometric recognition such as BioLab from Universita di Bologna Italy, IDIAP Research Institute in Switzerland, the Scribens Laboratory at the Ecole Polytechnique de Montreal in Canada, or the Integrated Pattern Recognition and Biometrics Laboratory (i-PRoBe) at the West Virginia University in the USA. His research interests are mainly focused on the security evaluation of biometric systems, but also include pattern and biometric recognition, synthetic generation of biometric traits and inverse biometrics. He is actively involved in European projects focused on vulnerability assessment of biometrics (e.g, STREP Tabula Rasa, STREP BEAT) and is the recipient of a number of distinctions, including: IBM Best Student Paper Award at ICPR 2008, finalist of the EBF European Biometric Research Award 2009, and Best Ph.D. Thesis Award by the Universidad Autonoma de Madrid 2010.
Juan Alberto Sigüenza receive his Ph.D. degree "cum laude" in Biological Sciences, in 1982, from Universidad Complutense de Madrid, Spain. Dr. Sigüenza has been postdoctoral fellow of the Max Planck Gesellschaft at the Max Planck Institute of Biophysical Chemistry in Göttingen (Germany). He is currently an Associate Professor at the Escuela Politécnica Superior, Universidad Autónoma de Madrid, where he teaches Neurocomputation and Neural Networks courses. He also is the director of a Ph.D. degree course in Biometrics applied to security. He is currently Pro-Vice-Chancellor for students affairs of the Universidad Autónoma de Madrid. His research interests range from biological neurocomputation to biometrics signal processing: keystroking biometrics, writer identification. He is co-founder and President of the Spanish Biometric Association (Asociación de Biometría Informática Española: ABIE).
Javier Gonzalez-Dominguez received his M.S. degree in Computer Science in 2005 from Universidad Autonoma de Madrid, Spain. In 2005 he joined Biometric Recognition Group - ATVS at Universidad Autonoma de Madrid (U.A.M) as a Ph. D. student. In 2007 he obtained the postgraduate Master in Computer Science and Electrical Engineering from U.A.M and received a FPI research fellowship from Spanish Ministerio de Educacion y Ciencia. His research interests are focused on robust speaker and language recognition. He has been recipient of several awards as the Microsoft Best student paper at SIG-IL 2009 conference and fellowships. Javier Gonzalez-Dominguez has actively participated and led several ATVS systems submitted to the NIST speaker and language evaluation recognition since 2006. During his Ph.D. pursuit he has been member of several research sites as SAIVT-QUT (2008, Brisbane, Australia), TNO (2009, Utrecht, The Netherlands) and Google Inc. Research (2010 New York, U.S.A).
Ruben Vera Rodriguez received his PhD in Electrical and Electronic Engineering in 2010 from Swansea University, UK, and his MSc in Telecommunications Engineering in 2006 from Universidad de Sevilla, Spain. He is currently working as a postdoc researcher at ATVS, Universidad Autonoma de Madrid,Spain, where he currently holds a Juan de la Cierva Postdoctoral Fellowship. His research interests include signal and image processing, pattern recognition and biometrics. The topic of his PhD thesis was on multimodal biometrics with an emphasis on footsteps as a novel biometric. In 2007 he received the Best Paper Award at the 4th International Summer School on Biometrics.
Pedro Tome received the MSc degree in Electrical Engineering in June 2008 in Universidad Autonoma de Madrid (UAM), Spain. At present he is pursuing the PhD degree in electrical engineering that he will completed at the end of 2013. Since 2007, he is with the Biometric Recognition Group - ATVS at the Universidad Autonoma de Madrid, where he is currently working as an assistant researcher. He has carried out different research internships in worldwide leading groups in biometric recognition such as Image and Information Engineering Lab from Kent University, Canterbury UK and CSPC - Communication Signal Processing and Control group from Southampton University, UK. His research interests include signal and image processing, pattern recognition, computer vision and biometrics. His current research are focused on biometrics at a distance, using face and iris recognition and more recently he is actively involved in forensic face evaluation.
Javier Franco-Pedroso received his MSc degree in Electrical Engineering in 2011 from Universidad Politecnica de Madrid, Spain. He is currently pursuing his PhD degree with the Biometric Recognition Group - ATVS at Universidad Autonoma de Madrid, where he is working as an assistant researcher since 2004. He has participated in several national projects and technology evaluations, such as NIST speaker and language recognition evaluations. His research interests include speaker verification, language identification, audio segmentation, speaker diarization, pattern recognition, speech processing, statistics and forensic evaluation of the evidence.