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SUMMARY:Fundamentals of Hand Biometrics: Commercial and Forensic Applications
DESCRIPTION:Title: Fundamentals of Hand Biometrics: Commercial and Forensic Applications\nSpeaker: Prof. Dr. Wai Kin Adams Kong\, Nanyang Technological University\, Singapore\nWhen: November 4\, 2026 at 8:00 AM US Eastern Time (2:00 pm CEST\, 8:00 PM Beijing Time)\nWhere: Online (Zoom)\nRegistration (free but required): https://us06web.zoom.us/webinar/register/WN_1lFx8W0-Q5CJrQWJoGfIAw \nAbstract\nIn this talk\, the speaker will first introduce the fundamental concepts of hand-based biometrics and discuss their advantages\, including user acceptance\, privacy protection\, and biometric distinctiveness\, particularly for commercial applications. The talk will focus on palmprint recognition\, covering its underlying principles\, practical applications\, and potential for reliable identity verification. The speaker will also introduce other hand-based biometric modalities\, including palm vein and finger vein recognition\, and discuss the key challenges in developing robust\, accurate\, and secure hand biometric systems for real-world commercial deployment. These challenges include variations in data acquisition conditions\, presentation attacks\, and the need to balance recognition performance with usability and privacy. In addition to commercial applications\, the talk will explore the potential of palmprints and wrist characteristics for forensic investigations. It will highlight how hand-based biometric evidence can support identity analysis and assist forensic experts in investigating cases where conventional biometric evidence may be unavailable or insufficient. The talk will conclude by discussing emerging opportunities and future research directions in hand biometrics for both commercial and forensic applications. \nAbout The Speaker\nDr. Adams Kong received his Ph.D. from the University of Waterloo. He is an Associate Professor at Nanyang Technological University (NTU)\, Singapore\, and Director of the MSc in Artificial Intelligence programme. His research has appeared in leading AI conferences and journals. His papers have been selected as spotlight papers by TPAMI\, ICML\, and ICLR\, and for oral presentation at CVPR; another received an Honorable Mention from PR. His Ph.D. students have won Best Student Paper Awards at BTAS 2012 and BIBE 2013\, as well as awards including the Google Anita Borg Memorial Scholarship. He serves as an editor for IEEE T-BIOM\, The Visual Computer\, and TMLR\, and as an area chair for NeurIPS\, ICLR\, CVPR\, and ECCV. He has been recognised as a top reviewer by ICML\, NeurIPS\, and BTAS\, and a top area chair by NeurIPS. He served as an expert witness for the U.S. Department of Justice in a child sexual abuse case and as a consultant in a cross-border legal case.
URL:https://ieee-biometrics.org/event/fundamentals_of_hand_biometrics_commercial_and_forensic_applications/
CATEGORIES:Webinar
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DTSTART;TZID=America/New_York:20261126T080000
DTEND;TZID=America/New_York:20261126T090000
DTSTAMP:20261013T073436Z
CREATED:20261013T073346Z
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UID:10000019-1795680000-1795683600@ieee-biometrics.org
SUMMARY:Designing computational tools for behavioral and clinical science
DESCRIPTION:Title: Designing computational tools for behavioral and clinical science\nSpeaker: Prof. Dr. Albert Ali Salah\, Utrecht University\, Netherlands\nWhen: November 26\, 2026 at 8:00 AM US Eastern Time (2:00 pm CEST\, 8:00 PM Beijing Time)\nWhere: Online (Zoom)\nRegistration (free but required): https://us06web.zoom.us/webinar/register/WN_uaf_6-kfQq-J7fuFt6coKA \nAbstract\nAutomatic analysis of human affective and social signals brought computer science into closer alignment with social sciences\, enabling new collaborations between computer scientists and behavioral researchers. In this talk\, I highlight the key research directions in this burgeoning interdisciplinary field\, and provide an overview of its major opportunities and challenges.\n\nComputer science and psychology have different methodological assumptions and approaches. In the extended version of this talk\, I introduce the foundational principles of both computational and statistical methods used in this context. I explain the core concepts\, outline different goals and methodologies\, and distinguish between data-driven and theory-driven approaches.\n\nDrawing on examples from our recent research – such as automatic analysis of interactive play therapy sessions with children\, and diagnosis of bipolar disorder from multimodal cues – as well as relying on examples from the growing literature\, I explore the potential of human-AI collaboration\, where AI systems do not replace\, but support monitoring and human decision making in behavioral and clinical sciences. In particular\, the role of face\, body\, gesture\, speech and multimodal analysis  are discussed\, as well the role of explainability and interpretability\, which are important aspects for trustworthy computer systems in this domain.\nAbout The Speaker\nDr. Albert Ali Salah is professor and chair of Social and Affective Computing at the Information and Computing Sciences Department of Utrecht University. His research is broad\, but mainly uses pattern recognition and machine learning for computer analysis of human behavior\, with over 250 publications in these areas\, including edited textbooks Computer Analysis of Human Behavior (2011\, Springer)\, Data Science for Migration and Mobility (2022\, Oxford University Press) and Privacy-Aware Monitoring for Assisted Living (2025\, Springer Cham). \nDr. Salah has a PhD in Computer Engineering from Boğaziçi University (2007). He subsequently held positions at CWI\, University of Amsterdam\, and Boğaziçi University\, as well as a one-year visiting position at Nagoya University. His research group at Utrecht University investigates behavior at different scales; looking at individual behaviors (such as facial expression analysis)\, dyadic and group behaviours (e.g. child-parent or patient-doctor interactions)\, and at computational social science (e.g. mobile phone based analysis of migration and mobility). He was the coordinator of the Data for Refugees (D4R) Challenge between 2016-2019\, and directed the mobile phone workpackage in the HumMingBird EU project. He is also a member of the AI and Animal Welfare Lab in Utrecht. \nDr. Salah was the inaugural recipient of the EBF European Biometrics Research Award (2006)\, and a recipient of the GEBIP award of Science Academy (2017). He served as a program committee member of over 200 conferences\, and as associate editor of several journals\, including IEEE Trans. Affective Computing\, IJHCS\, and Pattern Recognition. He chaired ACM ICMI 2014\, ISSI 2015\, SPECOM 2019\, IEEE FG 2024 conferences\, and served in the Steering Boards of ACM ICMI and IEEE FG\, and as VP Conferences for the IEEE Biometrics Council. He is a Senior Member of the ACM and of IEEE.
URL:https://ieee-biometrics.org/event/designing_computational_tools_for_behavioral_and_clinical_science/
CATEGORIES:Webinar
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