Speakers & Organizers

Anil Jain is a University Distinguished Professor and Douglas E. Zongker endowed professor at Michigan State University where he has taught and conducted research for 50 years. For his many advances in pattern recognition and biometrics, Jain was inducted into the United States National Academy of Engineering, Indian National Academy of Engineering, The World Academy of Sciences, Chinese Academy of Sciences and the National Academy of Inventors. Jain served as the Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence and was awarded the Guggenheim, Humboldt and Fulbright fellowships along with the IAPR King-Sun Fu Prize. He was appointed to the Defense Science Board, Forensic Science Standards Board, and the AAAS Latent Fingerprint study. Jain has authored foundational books in both biometrics and pattern recognition including: Introduction to Biometrics, Handbook of Face Recognition, Handbook of Fingerprint Recognition, and Algorithms for Clustering Data. For his plethora of discoveries and applications in biometrics, his service to the research community, and his extensive mentorship, Jain was awarded Doctor Honoris Causa by Universidad Autónoma de Madrid, Hong Kong University of Science and Technology and Hong Kong Baptist University. Jain received the 2025 Frontiers of Knowledge Prize in the Information and Communication Technology category from Foundation BBVA. His list of publications is available at ‪Anil K. Jain‬ - ‪Google Scholar‬.

Arun Ross is the Martin J. Vanderploeg Endowed Professor in the Department of Computer Science and Engineering at Michigan State University, and the Site Director of NSF’s Center for Identification Technology Research (CITeR). He received the B.E. (Hons.) degree in Computer Science from BITS Pilani, India, and the M.S. and PhD degrees in Computer Science and Engineering from Michigan State University. He was in the faculty of West Virginia University between 2003 and 2012 where he received the Benedum Distinguished Scholar Award for excellence in creative research and the WVU Foundation Outstanding Teaching Award.

Ross is an internationally recognized expert in biometrics, privacy, computer vision and deep learning. He is a recipient of the JK Aggarwal Prize (2014) and the Young Biometrics Investigator Award (2013) from the International Association of Pattern Recognition for his contributions to the field of Pattern Recognition and Biometrics. He was designated a Kavli Fellow by the US National Academy of Sciences by virtue of his presentation at the 2006 Kavli Frontiers of Science Symposia. Ross is also a recipient of the NSF CAREER Award. 

Ross has advocated for the responsible use of biometrics in multiple forums including the NATO Advanced Research Workshop on Identity and Security in Switzerland in 2018. He testified as an expert panelist in an event organized by the United Nations Counter-Terrorism Committee at the UN Headquarters in 2013. In June 2022, he testified at the US House Science, Space, and Technology Committee on the topic of Biometrics and Personal Privacy. He is a co-author of the monograph “Handbook of Multibiometrics” and the textbook “Introduction to Biometrics”. 

Lior Wolf is a full professor at the School of Computer Science at Tel-Aviv University. Previously, he was a post-doctoral associate in Prof. Poggio's lab at MIT. He graduated from the Hebrew University, Jerusalem, where he worked under the supervision of Prof. Shashua. Lior Wolf is a former recipient of an ERC grant and has received the best paper awards at ECCV 2000, the post ICCV 2009 workshop on eHeritage, the pre-CVPR2013 workshop on action recognition, ICANN 2016, Face&Gesture 2021, SCIA 2023, and EMNLP 2024. He was also awarded the ICCV 2001 Marr Prize honorable mention and the runner-up for the best paper award at ICCV 2019. His research focuses on computer vision and deep learning.

Adam Czajka is an Associate Professor in the Department of Computer Science and Engineering in the College of Engineering at the University of Notre Dame, USA. His research focuses on computer vision, biometrics and security, with a special interest in methods increasing reliability of iris recognition in adverse scenarios such as presentation attacks, impact of eye diseases on iris identification and applications of iris technology in forensics. He is the recipient of the NSF CAREER award. Dr Czajka’s research has been funded by the US Department of Defense, US Army, US National Institute of Justice, FBI Biometric Center of Excellence, National Institute of Standards and Technology (NIST), Intelligence Advanced Research Projects Activity (IARPA), US National Science Foundation, European Commission, Polish Ministry of Higher Education, and numerous companies. Full CV: https://adamczajka.com/

Luisa Verdoliva is a Professor at University Federico II of Naples, Italy, where she leads the Multimedia Forensics Lab. Her scientific interests are in the field of image and video processing, with main contributions in the area of multimedia forensics. She has actively contributed to the academic community through service as General Chair of WACV 2024, Workshop Chair of CVPR 2024 and Technical Chair of IJCB 2023, IH&MMsec 2021, WIFS 2019. She is a former Chair of the IFS-TC for the 2021-2022 term and is Editor-in-Chief of the IEEE Transactions on Information Forensics (2025-2027). She is the recipient of the 2018 Google Faculty Research Award and a TUM-IAS Hans Fischer Senior Fellowship (2020-2024). She is an IEEE Fellow.

Prof Sébastien Marcel (IEEE and IAPR Fellow) is a senior researcher at the Idiap Research Institute (Switzerland), he heads the Biometrics Security and Privacy group and conducts research on face recognition, speaker recognition, vein recognition, attack detection (presentation attacks, morphing attacks, deepfakes) and template protection. He is also Professor at the University de Lausanne (UNIL) at the School of Criminal Justice. He received his Ph.D. degree in signal processing from Université de Rennes I in France (2000) at CNET, the research center of France Telecom (now Orange Labs). He is also the Director of the Swiss Center for Biometrics Research and Testing, which conducts certifications of biometric products. He was Associate Editor of IEEE Transactions on Biometrics and Identity Science, IEEE Signal Processing Letters, IEEE Transactions on Information Forensics and Security, a Guest Editor of the IEEE Transactions on Information Forensics and Security Special Issue on “Biometric Spoofing and Countermeasures”, and Co-editor of the IEEE Signal Processing Magazine Special Issue on “Biometric Security and Privacy”. He is also the lead Editor of the Springer Handbook of Biometrics Anti-Spoofing (Editions 1, 2 and 3).

Vishal M. Patel is an Associate Professor in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University. His research interests are focused on computer vision, machine learning, image processing, medical image analysis, and biometrics. He has received a number of awards including the 2021 IEEE Signal Processing Society (SPS) Pierre-Simon Laplace Early Career Technical Achievement Award, the 2021 NSF CAREER Award, the 2021 IAPR Young Biometrics Investigator Award (YBIA), the 2016 ONR Young Investigator Award, and the 2016 Jimmy Lin Award for Invention. Patel is an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence journal and chairs the conference subcommittee of IAPR Technical Committee on Biometrics (TC4)

Dr. Xiaoming Liu is the MSU Foundation Professor, and Anil and Nandita Jain Endowed Professor at the Department of Computer Science and Engineering of Michigan State University (MSU). He received Ph.D. degree from Carnegie Mellon University in 2004. Before joining MSU in 2012 he was a research scientist at General Electric (GE) Global Research. He works on computer vision, machine learning, and biometrics especially on face related analysis and 3D vision. Since 2012 he helps to develop a strong computer vision area in MSU who is ranked top 15 in US according to the 5-year statistics at csrankings.org. He will be the co-program chair for CVPR 2028. He is an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence. He has authored more than 200 scientific publications, and has filed 35 U.S. patents. His work has been cited over 30000 times according to Google Scholar, with an H-index of 80. He is a fellow of The Institute of Electrical and Electronics Engineers (IEEE) and International Association for Pattern Recognition (IAPR).  More information of Dr. Liu’s research can be found at http://cvlab.cse.msu.edu.

Davide Maltoni is a Full Professor at University of Bologna (DISI - Dept. of Computer Science and Enginnering). He teaches Machine Learning and Computer Architectures at University of Bologna, Cesena. His research interests are in the areas of Computer Vision, Machine Learning and Computational Neuroscience. Please refer to the tab Research for a selection of papers in the different areas. 

His main bibliometric indicators (from Google Scholar profile)

Most of his applied research is in the field of Biometric Systems (fingerprint recognition, face recognition, hand recognition, performance evaluation of biometric systems). Davide Maltoni is co-founder and co-director of the Biometric Systems Laboratory (BioLab), which is internationally known for its research and publications in the field. Davide Maltoni (together with other BioLab member):

• (1997) proposed the first direct gray-scale minutiae detection approach;

• (2000) developed SFinGe, an effective method for generating realistic synthetic fingerprint databases, nowadays largely used for performance evaluation of biometric systems;

• (2000-2006) organized four International Competitions for Fingerprint Verification Algorithms (FVC2000, FVC2002, FVC2004 and FVC2006). FVC databases are nowadays the most widely adopted benchmark for fingerprint recognition;

• (2002) published the first fingerprint classification algorithm able to meet the FBI fingerprint classification requirements;

• (2009) proposed Minutiae Cylinder Code (MCC), a recognized state-of-the-art fingerprint matcher capable of performing more than 150 million comparisons per second on a single PC (CPU+GPU);

• (2010) launched FVC-onGoing a web-platform for evaluation of biometric recognition algorithms with about 2K registered participants and 8K submitted algorithms;

• (2014) first demonstrated the feasibility of enrolling double-identity face biometrics in electronic documents (morphing attack).

Davide Maltoni is co-author of the monography Handbook of Fingerprint Recognition whose third edition was published by Springer in 2022. The first edition of the book received the PSP award from the Association of American Publishers as best monography in Computer Science for 2003. At 2024 the book has been cited more than 7000 times.

Davide Maltoni coordinated University of Bologna unit in the following EU Projects: BioSec (FP6), Fidelity (FP7), Ingress (FP7), SOTAMD (H2020), iMars (H2020) and Einstein (Horizon Europe) with a total funding exceeding 2.5 M€. He holds four patents on Fingerprint Recognition, one patent on Videosurveillance and one patent on Augmented Reality.

He served as Associate Editor for the international journals: Pattern Recognition, IEEE Transactions on Information Forensic and Security and IEEE Transactions on Pattern Analysis Machine Intelligence. Davide Maltoni is IEEE Senior Member and he has been elected IAPR (International Association for Pattern Recognition) Fellow 2010. He received the prestigious Senior Biometrics Investigator Award (SBIA) from IAPR in 2014

Vedrana Krivokuća Hahn is a researcher in the Biometrics Security and Privacy group at Idiap Research Institute (Martigny, Switzerland). Her main field of research is Biometric Template Protection (BTP). Vedrana is currently the chief researcher and project manager of the Innosuisse PRiMEAiD project, which aims to use BTP algorithms to develop a privacy-preserving face identification system for humanitarian aid distribution programmes. She is also leading the production of the first ever Handbook of Biometric Template Protection, which will be published later this year. Aside from pursuing her BTP research interests, Vedrana regularly manages various research and engineering projects, the most recent examples including the presentation attack detection component of the EU research project SOTERIA, the goal of which was to produce a digital, secure, and user-friendly personal data platform for European citizens, and an industrial project investigating multimodal biometric recognition in vehicles. Vedrana is additionally involved in biometric system evaluations for identity management applications in both industry and government, and is currently part of the EU CERTAIN project on AI system certification. Vedrana also engages in teaching activities, a prime example being Idiap's Masters in Artificial Intelligence programme, for which she taught a full course on biometrics.

Kevin Bowyer is the Schubmehl-Prein Family Professor of Computer Science and Engineering at the University of Notre Dame. Professor Bowyer was elected as a Fellow of the American Academy for the Advancement of Science “for distinguished contributions to the field of computer vision and pattern recognition, biometrics, object recognition and data science”, a Fellow of the IEEE “for contributions to algorithms for recognizing objects in images”, and a Fellow of the IAPR “for contributions to computer vision, pattern recognition and biometrics”. He has received a Technical Achievement Award from the IEEE Computer Society “for pioneering contributions to the science and engineering of biometrics”, and IEEE Biometrics Council’s Meritorious Service Award and Leadership Award. Professor Bowyer has served as Editor-In-Chief of both the IEEE Transactions on Biometrics, Behavior, and Identity Science and the IEEE Transactions on Pattern Analysis and Machine Intelligence.

Brendan is the co-founder and Chief Scientist of ROC, a leading provider of biometrics and computer vision algorithms to the government agencies, law enforcement, and the financial sector. Brendan received his Ph.D. in Computer Science from Michigan State University in 2012, where he published dozens of articles on the topic of automated face recognition and pattern recognition algorithms with his advisor, University Distinguished Professor, Anil K. Jain. Prior to his academic studies Brendan served as an infantryman in the 75th Ranger Regiment, U.S. Army. Prior to founding ROC, Brendan served as a subject matter expert consultant on the use of automatic face recognition algorithms for the U.S. Dept. of State, the Federal Bureau of Investigations, the Dept. of Defense, and the Intelligence Advanced Research Projects Activity (IARPA).

Graham has been the Chief Architect for the Home Office biometric systems since 2014. His scope covers face, fingerprints and DNA across immigration, borders, passports and law enforcement. 

His responsibilities include:

• Deliverying the technical transformations of the systems

• Providing consultancy and expert advice to consumers of the biometric services within the Home Office, law enforcement agencies and other government departments

• Developing biometric solutions to meet new customer demand

• Running trials and research programmes to meet future demand and address emerging risks

• Providing expert support to the live services teams

Orr Dunkelman is a full professor of computer science at the Computer Science Department at the University of Haifa in Israel, currently on Sabbatical at TU Berlin with the Security in Telecommunications (SecT) chair. He received his Ph.D. from the Technion in 2006, and his research interests include cryptography (with emphasis on cryptanalysis), privacy, computer security, and biometrics. Orr has published more than 100 publications in leading conferences and journals. He served as the program chair of EUROCRYPT 2022 (as well as other venues), and the general chair of EUROCRYPT 2018. He has been a member of the International Association for Cryptologic Research (IACR) board (2017-2018) and as was a co-director of the Center for Cyber, Law and Policy (CCLP) at the University of Haifa, and the head of the Center for research of biometrics and its applications that operates as part of the CCLP. He is also a co-founder of the "Privacy Israel" NGO.