Raymond Veldhuis graduated from the University of Twente, The Netherlands, in 1981. He received the Ph.D. degree from Nijmegen University on a thesis entitled Adaptive Restoration of Lost Samples in Discrete-Time Signals and Digital Images, in 1988. From 1982 to 1992, he was a Researcher with Philips Research Laboratories, Eindhoven, in various areas of digital signal processing. From 1992 to 2001, he was involved in the field of speech processing. From 2001 until 2023 he worked at the University of Twente, The Netherland in the area of biometrics and privacy. From 2013 until 2023 he has been a full professor in that area. He currently holds a part-time professor position at NTNU, Gjøvik, Norway. His main research topics is machine learning for biometrics. The research is both applied and fundamental.
Massimiliano Todisco is a Professor of Audio and Speech Technologies in the Digital Security Department at EURECOM, France. His research focuses on secure, explainable and privacy-preserving speech technologies, with particular emphasis on voice biometrics, deepfake and spoofing detection, audio watermarking and source tracing. His work explores explainable neural architectures, adversarial learning and robust generative AI models to safeguard digital identity systems. He is best known for proposing constant-Q cepstral coefficients (CQCCs), which contributed to advances in synthetic speech detection and received the ISCA Best Paper Award for the 2015–2019 quinquennium. He serves as an Associate Editor for the IEEE Transactions on Biometrics, Behavior, and Identity Science and contributes to international initiatives such as ASVspoof and VoicePrivacy.
Nicholas Evans is a Full Professor at EURECOM, France, where he heads research in Audio Security and Privacy. His research interests include spoofing and deepfake detection, voice anonymisation, and automatic speaker recognition. He is a co-founder and co-organiser of the community led, ASVspoof and VoicePrivacy challenge series. He served previously as an elected member of the IEEE Speech and Language Technical Committee, as an Associate Editor for IEEE Transactions on Biometrics, Behavior, and Identity Science, and as co-editor for the Springer Handbook of Biometric Anti-Spoofing. He serves currently as a Steering and Advisory Board member of the International Speech Communication Association Special Interest Group in Security and Privacy in Speech Communications.
Christoph Busch is member of the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU), Norway. He holds a joint appointment with the computer science faculty at Hochschule Darmstadt (HDA), Germany. Further he lectures Biometric Systems at Technical University of Denmark (DTU) since 2007. He received his PhD in the field of computer graphics in 1997. In the same year he joined the Fraunhofer Institute for Computer Graphics (Fraunhofer IGD) as head of the department Security Technology. Prof. Dr. Busch has since been responsible for the acquisition, the management and the control of various applied research and development projects.
Farzin Deravi obtained his first degree in Engineering and Economics from the University of Oxford in 1981 and his M.Sc. in Electronic Engineering from Imperial College, University of London in 1982. From 1983 to 1987 he worked as a research assistant at the University of Wales, Swansea where he obtained his Ph.D. In 1987 he joined the academic staff at Swansea. In 1998 he joined the School of Engineering at the University of Kent. He was promoted to become Professor of Information Engineering and was the Head of School from 2017 to 2020. He is currently the Emeritus Professor of Information Engineering at the University of Kent. His research interests span the broad field of signal processing and pattern recognition. In particular, he has been interested in, and contributed to, the areas of signal and image processing, shape and texture recognition as well as image communication. In recent years, and particularly since his appointment at the University of Kent in 1998, the focus of his research activity has been in pattern recognition with a particular emphasis on biometric technologies for the automatic recognition and verification of human identity. He was the founding Editor-in-Chief of the IET Image Processing Journal.
Sébastien Marcel (IEEE Fellow, IAPR Fellow) is a senior researcher at the Idiap Research Institute in Switzerland, where he leads the Identity Security and Privacy group. His research spans face, speaker, and vein recognition, attack detection – including presentation attacks, morphing, and deepfakes – and biometric template protection. He is also Director of the Idiap Biometrics Center, which provides certification of biometric products, and Professor at the School of Criminal Justice at the University of Lausanne (UNIL). Prof. Marcel has served in editorial roles for leading IEEE journals in biometrics, signal processing, and information forensics, and has edited influential books and special issues on biometric security and privacy.
Els J. Kindt is an associate professor and affiliated senior legal researcher with respectively eLaw, Universiteit Leiden, the Netherlands, and the Centre for IT and IP Law (CITIP) of KU Leuven, Belgium. She gave lectures and published many articles and reports in the domain of information technology, including AI, privacy and data protection and the law. At KU Leuven, she taught European Privacy and Data Law and Electronic Contract Law. She is an expert in law and biometrics and did research in this domain, including in many EU projects, for over 20 years. In 2020, she set up the Biometric Law Lab (BLL) for exchanging legal knowledge in this domain. She is continuing her research in these domains for RADL, her own company.
Bjarte M. Østvold is an Assistant Research Director at the Norwegian Computing Center (NR), a not-for profit research foundation in Oslo. He defended a PhD on artificial intelligence for program synthesis (NTNU, 1999) and has worked at NR since. His research interests include formal specification, programming language theory, the Rocq prover, software privacy and artificial intelligence. Recently, his work targets mainly applications related to digitalization, especially of digitalization of laws and regulation.
Julian Fierrez has been a Full Professor at Universidad Autonoma de Madrid since 2002, where he leads the BiometricsAI research group. His research focuses on signal and image processing, AI fundamentals and applications, HCI, forensics, and biometrics for security and human behavior analysis. He has received best papers awards at AVBPA, ICB, IJCB, ICPR, ICPRS, and Pattern Recognition Letters. He is also recipient of a number of world-class research distinctions, including EBF European Biometric Industry Award 2006, EURASIP Best PhD Award 2012, Medal in the Young Researcher Awards 2015 by the Spanish Royal Academy of Engineering, and the Miguel Catalan Award to the Best Researcher under 40 in the Community of Madrid in the general area of Science and Technology. In 2017, he was also awarded the IAPR Young Biometrics Investigator Award, given to a single researcher worldwide every two years under the age of 40, whose research work has had a major impact on biometrics.
