Javier Ortega-Garcia   CV

[Email]

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".

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.

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 BiDA Lab - Biometric and Data Pattern Analytics Laboratory at Universidad Autónoma de Madrid, where he is currently an Associate Professor. He has performed research stays at the Biometric Research Laboratory at Michigan State University, the Biometric Research Center at Hong Kong Polytechnic University, the Biometric System Laboratory at University of Bologna and Schepens Eye Research Institute (Harvard Medical School). His research interests include pattern recognition, computer vision, machine learning and biometrics signal processing. He is author of more than 70 scientific articles published in international journals and conferences. 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 UAM, UPM, EUPMt, Accenture, Unión Fenosa, Soluziona,...

Ruben Vera-Rodriguez received the M.Sc. degree in telecommunications engineering from Universidad de Sevilla, Spain, in 2006, and the Ph.D. degree in electrical and electronic engineering from Swansea University, U.K., in 2010. Since 2010, he has been affiliated with the Biometric Recognition Group, Universidad Autonoma de Madrid, Spain, where he is currently an Associate Professor since 2018. His research interests include signal and image processing, AI fundamentals and applications, HCI, forensics, and biometrics for security and human behavior analysis. Dr. Vera-Rodriguez is actively involved in several National and European projects focused on these topics. He is author of more than 150 scientific articles published in international journals and conferences. He has served as Program Chair for some international conferences such as: IEEE ICCST 2017, CIARP 2018, ICBEA 2019 and AVSS 2022. Ruben has received a Medal in the Young Researcher Awards 2022 by the Spanish Royal Academy of Engineering among other awards, and he is member of ELLIS Society since 2023.

Ruben Tolosana received the M.Sc. degree in Telecommunication Engineering, and his Ph.D. degree in Computer and Telecommunication Engineering, from Universidad Autonoma de Madrid, in 2014 and 2019, respectively. In April 2014, he joined the Biometrics and Data Pattern Analytics - BiDA Lab at the Universidad Autonoma de Madrid, where he is currently collaborating as an Assistant Professor. Since then, Ruben has been granted with several awards such as the FPU research fellowship from Spanish MECD (2015), and the European Biometrics Industry Award (2018). His research interests are mainly focused on machine learning, signal and image processing, pattern recognition, and biometrics, particularly in the areas of DeepFakes, Human-Computer Interaction, and Biometrics. He is author of several publications and also collaborates as a reviewer in many different high-impact conferences (e.g., WACV, ICPR, ICDAR, IJCB, EUSIPCO, etc.) and journals (e.g., IEEE TPAMI, TIFS, TCYB, TIP, ACM Computing Surveys, etc.). Finally, he has participated in several National and European projects focused on the AI applications.

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).

Juan Carlos Ruiz-Garcia received his B.Sc. degree in Computer Science Engineering in 2019 from the Universidad de Granada and got the M.Sc. degree in Research and Innovation in 2021 with the award of excellence from the Universidad Autonoma de Madrid, where he is currently pursuing a PhD degree in Computer and Telecommunication Engineering. In addition, in April 2020, he joined the Biometrics and Data Pattern Analytics - BiDA Lab as Pre-Doctoral Researcher at the same university. His research interests are mainly focused on the use of machine learning for e-Learning, e-Health, Human-Computer Interaction (HCI), and automatic Fall Detection Systems (FDS).

Roberto Daza García received his bachelor’s degree in telecommunications technology engineering in 2016 from Universidad de Granada, and got in 2019 a M.Sc. degree in Telecommunication Engineering from Universidad Oberta de Catalunya and Universitat Ramon Llull-La Salle. He is pursuing his last year of PhD studies at the Universidad Autónoma de Madrid in the Biometrics and Data Pattern Analytics Lab (BiDA LAB). His research interests include human-machine interaction, machine learning, deep learning and biometric signals processing, emphasizing on e-learning technologies for security and learning improvements. He has received awards from the eMadrid network, AERFAI, Universidad Autónoma de Madrid and doctoral schools all over Madrid. Finally, he has participated in several National and European projects focused on the improvements of e-learning, health technologies and security.

Daniel de Alcalá Valcárcel, a research professional, obtained his B.Sc. in Telecommunications Engineering from Universidad Autonoma de Madrid (UAM) in 2020, graduating with outstanding academic achievements. Subsequently, he pursued a Master's degree in Deep Learning, which he successfully completed in 2021. In 2022, Daniel embarked on his Ph.D. journey by joining the esteemed Biometrics and Data Pattern Analytics Laboratory (BiDA Lab) at UAM. His research primarily centers around Fair and Transparent AI and innovative architectural developments. Dani has presented his work at prestigious conferences, including CVPR, and continues to make significant contributions to the field of AI.

Mahdi Ghafourian received his bachelor’s degree in Computer Science from the Islamic Azad University of Mashhad, Mashhad, Iran, in 2011, and his master’s degrees in Information Security and Assurance from the Imam Reza University, Mashhad, Iran, in 2016. He stands at the second position among top Master’s degrees graduates in the Department of Computer Engineering and Information Technology of Imam Reza University in 2016. Since 2021, he started his PhD with a Marie Curie Fellowship within the PriMa (Privacy Matters) EU ITN project in the Biometrics and Data Pattern Analytics - BiDA Lab, at the Universidad Autonoma de Madrid, Spain. His research interests include information security, biometrics protection, face recognition, adversarial examples and federated learning.

Iván de Andrés received the MSc in Deep learning for Image, Audio and Video processing in 2022 from the Universidad Autonoma de Madrid. In May 2023, he joined the Biometrics and Data Pattern Analytics Lab, where he is currently collaborating as an assistant researcher pursuing the PhD degree. The research activities he is currently working in include Human-Computer interaction for Digital Health and Digital Security domain, Face Recognition, Machine Learning and Deep Learning.

Pietro Melzi received his M.Sc. degree in Computer Science and Engineering from Politecnico di Milano, Italy, in 2020. In 2020 he started his PhD with a Marie Curie Fellowship within the TReSPAsS-ETN EU project in the Biometrics and Data Pattern Analytics - BiDA Lab, at the Universidad Autonoma de Madrid, Spain. His research interests include biometrics, privacy-enhancing technologies, Computer Vision, and Pattern Recognition.

(In 2022) Alejandro Pena received the BS degree in Telecommunication Engineering from the Autonomous University of Madrid, Spain, in 2018, and the MSc degree in Telecommunication Engineering from the same institution in 2020. He is currently pursuing a PhD in Computer Science at the BiDA-Lab under the supervision of Prof. A. Morales and Prof. J. Fierrez. His research interests include computer vision, pattern recognition, and ethics in AI, with applications to biometrics. He is author of several publications, and also collaborates as reviewer in different conferences (e.g. ICPR, IJCB) and journals (e.g. IEEE Transactions on Image Processing, Information Fusion).

Sergio Romero-Tapiador received the B.Sc. in Computer Science and Engineering and the M.Sc. in Research and Innovation from Universidad Autonoma de Madrid (UAM). Since September 2019, he is a member of the Biometrics and Data Pattern Analytics Laboratory - BiDA Lab (UAM), where he is currently a Ph.D. candidate. His primary research focus has been on Pattern Recognition and Machine Learning, with notable contributions to the field of DeepFakes. He is currently engaged in research that focuses on leveraging Artificial Intelligence techniques to drive advancements in health and nutrition data analysis, aiming to develop pioneering solutions and uncover valuable insights.

Giuseppe Stragapede received his MSc degree in electronic engineering from Politecnico di Bari, Italy, in 2019. After one year as a computer vision engineer in the industry, in 2020 he started his PhD with a Marie Curie Fellowship within the PriMa (Privacy Matters) EU project in the Biometrics and Data Pattern Analytics - BiDA Lab, at the Universidad Autonoma de Madrid, Spain. His research interests include biometrics, privacy protection, machine learning, pattern recognition, and computer vision.

Marcos Grande Aguilella recived his degree in cross-platform application design in 2021 from Retamar school. In May 2021, he he joined the Biometrics and Data Pattern Analytics Lab, where he is currently working as a laboratory technician.