Ruben Tolosana received the M.Sc. degree in Telecommunication Engineering, and the Ph.D. degree in Computer and Telecommunication Engineering, from Universidad Autonoma de Madrid, in 2014 and 2019, respectively. In 2014, he joined the Biometrics and Data Pattern Analytics Laboratory (BiDA-Lab) at the Universidad Autonoma de Madrid, where he is currently an Associate Professor. He is a member of the ELLIS Society and ELLIS Unit Madrid, Technical Area Committee of EURASIP, and Editorial Board of the IEEE Biometrics Council Newsletter. His research interests are mainly focused on signal and image processing, pattern recognition, and machine learning, particularly in the areas of DeepFakes, Human-Computer Interaction, Biometrics, and Health. He is the author of more than 100 scientific articles published in international journals and conferences, selected as one of the most influential researchers in the world according to “Ranking of the World Scientist: World Top 2%” in 2023 and 2024, carried out by Stanford University and Elsevier. He has served as General Chair and Program Chair (IEEE AVSS 2022), and Area Chair (IEEE IJCB 2023, IEEE/IAPR ICPR 2022) in top conferences. Recently, he has also organized key international workshops and challenges in top AI conferences such as FRCSyn (IEEE/CVF CVPR-2024 and WACV-2024), ReFIP (IEEE FG-2024), WAMWB (ACM MobileHCI-2023), KVC (IEEE BigData-2023), etc. Finally, Dr. Tolosana has also received several awards such as the “European Biometrics Industry Award (2018)” from the European Association for Biometrics (EAB) and the “Juan Lopez de Peñalver Award (2024)” from the Spanish Royal Academy of Engineering for his research contributions and transfer of technologies.