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 Autonoma de Madrid, where he teaches Digital Signal Processing and Speech Processing courses. He also holds a Masters Degree course in Biometrics. His research interests are focused on biometrics signal processing: on-line signature verification, speaker recognition, web-based biometrics, 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", "ICB-09, the 3rd IAPR International Conference on Biometrics" and "ICB-2013, the 6th 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). In September 2008, he addressed a keynote plenary talk at Interspeech 2008 in Brisbane (Australia) entitled “Forensic Automatic Speaker Recognition: Fiction or Science?”. In March 2009 he received a Google Research Award for the project entitled “Exploiting prior knowledge for robust recognition and indexing of audio information sources”.
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 M.Sc. and Ph.D. degrees in telecommunications engineering from the Universidad Politecnica de Madrid,
Madrid, Spain, in 2001 and 2006, respectively.
Since 2002, he has been affiliated with the Biometric
Recognition Group (ATVS), Universidad
Politecnica de Madrid, and the Universidad
Autónoma de Madrid, Madrid, since 2004, where
he is currently an Associate Professor. From 2007
to 2009, he was a Visiting Researcher with Michigan
State University, East Lansing, MI, USA, under a Marie Curie Fellowship.
His research interests and areas of expertise include signal and image
processing, pattern recognition, and biometrics, with an emphasis on signature
and fingerprint verification, multibiometrics, biometric databases, and
system security. He has been and is actively involved in European projects
focused on biometrics, and was a recipient of a number of distinctions for
his research, including the Best Ph.D. Award in computer vision and pattern
recognition from 2005 to 2007 by the IAPR Spanish Liaison (AERFAI), the
Motorola Best Student Paper at ICB in 2006, the EBF European Biometric
Industry Award in 2006, the IBM Best Student Paper at ICPR in 2008, and
the EURASIP Best Ph.D. Award in 2012.
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.
Ruben Vera-Rodriguez received the MSc degree in telecommunications engineering from the Universidad de Sevilla, Spain, in 2006, and the PhD degree in electrical and electronic engineering from Swansea University, United Kingdom, in 2010. Since 2010, he has been affiliated with the Biometric Recognition Group - ATVS, Universidad Autonoma de Madrid, Spain, first as the recipient of a Juan de la Cierva postdoctoral fellowship from the Spanish Ministry of Innovation and Sciences, and currently as an assistant professor. His research interests include signal and image processing, pattern recognition, and biometrics. In 2007, he received the Best Paper Award at the Fourth International Summer School on Biometrics, held in Alghero, Italy, by top international researchers in the field.
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).
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.
Aythami Morales Moreno received his M.Sc. degree in Telecommunication Engineering in 2006 from Universidad de Las Palmas de Gran Canaria. He received his Ph.D degree from La Universidad de Las Palmas de Gran Canaria in 2011. He performs his research works in the ATVS - Biometric Recognition Group at Universidad Autónoma de Madrid and he has performed research stays at the Biometric Research Laboratory at Michigan State University, the Biometric Research Center at Hong Kong Polytechnic University and the Biometric System Laboratory at University of Bologna. His research interests are focused on pattern recognition, computer vision, machine learning and biometrics signal processing. He has received awards from ULPGC, La Caja de Canarias, SPEGC, and COIT. He has participated in 7 National and European projects in collaboration with other universities and private entities such as ULPGC, UPM, EUPMt, Indra, Unión Fenosa, Soluziona,...
Pedro Tome received the M.Sc. degree in Electrical Engineering in June 2008, and the Ph.D. degree in Electrical Engineering in 2013 from Universidad Autonoma de Madrid (UAM), Spain. 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, CSPC - Communication Signal Processing and Control group from Southampton University, UK, and
Security and Surveillance Research Group – SAS, from University of Queensland, Australia. His research interests include signal and image processing, pattern recognition, computer vision and biometrics. His current research are focused on biometrics at a distance and videosurveillance, using face and iris recognition and he is actively involved in forensic face evaluation.
Ester Gonzalez-Sosa received Electronical Engineering degree from Universidad de Las Palmas de Gran Canaria in 2012. In September 2012, she joined the Biometric Recognition Group - ATVS at the Universidad Autonoma de Madrid, where she is currently collaborating as an assistant researcher. Her research interests include biometrics, pattern recognition and signal processing.
Javier Hernández-Ortega received the MSc in Electrical Engineering in 2015 from Universidad Autonoma de Madrid.
In June 2016, he joined the Biometric Recognition Group - ATVS at the Universidad Autonoma de Madrid,
where he is currently working as an assistant researcher pursuing the PhD degree.
The research activities he is currently interested in include Biometrics based on Human-Computer Interaction, Pattern Recognition and Machine Learning.
Alicia Lozano Díez received the double degree in Computer Science and Mathematics in June 2012 at Universidad Autónoma de Madrid, Spain. She is currently studying the Master's program in Research and Innovation in Information and Communications Technologies. Since June 2012, she is collaborating as an assistant researcher in the Biometric Recognition Group - ATVS at the Universidad Autónoma de Madrid. Her current research focuses on language recognition and deep neural networks.
Ruben Tolosana received the MSc in Electrical Engineering in 2014 from Universidad Autonoma de Madrid. In April 2014, he joined the Biometric Recognition Group - ATVS at the Universidad Autonoma de Madrid, where he is currently collaborating as an assistant researcher pursuing the PhD
degree. In 2015 he was awarded with a FPU research fellowship from Spanish MECD. The research activity he is currently involved in is dynamic signature recognition, paying special interest to compensation of device inter-operability and aging problems, fusion of systems and Deep Learning.
Ruben Zazo received the MSc in Electrical Engineering in 2014 from Universidad Autonoma de Madrid. Since March 2012, he has been collaborating with the Biometric Recognition Group – ATVS at the Universidad Autonoma de Madrid, where he is currently a M.S. Graduated Researcher pursuing the PhD degree. In 2015 he was selected in a competitive process for an internship at Google Inc. in their headquarters in Mountain View, California, where he joined a research team on speech. Later in 2015 he was awarded with a FPI research fellowship from Universidad Autonoma de Madrid. Ruben is currently involved in Deep Neural Networks, Recurrent Neural Networks (LSTM), big data, and other state-of-the-art pattern recognition techniques. His interests are multi-disciplinary including Artificial Intelligence, Deep Learning, Patern Recognition, Robotics or Electronics.