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BEGIN:VEVENT
DTSTART;TZID=Asia/Shanghai:20241204T160000
DTEND;TZID=Asia/Shanghai:20241204T170000
DTSTAMP:20260405T025405
CREATED:20241027T193709Z
LAST-MODIFIED:20241206T123017Z
UID:10000012-1733328000-1733331600@ieee-biometrics.org
SUMMARY:Power Papers: Some Practical Pointers
DESCRIPTION:Title: Power Papers: Some Practical Pointers\nSpeaker: Dr. Terence Sim\, National University of Singapore\nWhen: December 4\, 2024 at 4:00 pm Beijing Time (9:00 am CET\, 3:00 am EST)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nWriting a good research paper requires effort\, especially when there is a page limit. Yet this skill is required of every researcher\, who\, more often than not\, fumbles his or her way through. Good grammar is only a start. Care and craft must be applied to turn a mediocre paper into a memorable one. Writing skills can indeed be honed. In this abridged talk\, our speaker will highlight the common mistakes many researchers make\, and offer practical pointers to pack more punch into your paper. Needless to say\, the talk will be biased: our speaker will speak not from linguistic theories but from personal experience\, sharing what has\, and has not\, worked for him. Two major sections of a technical paper will be covered: the Title and Introduction. The speaker will discuss the purpose of each section\, present common mistakes\, and provide concrete examples of good writing. The intended audience is the graduate student writing his/her first paper\, but everyone is welcome. Seasoned writers are encouraged to share their experience of how they improved their writing. \nAbout The Speaker\nDr. Terence Sim is an Associate Professor at the School of Computing\, National University of Singapore (NUS). He is also Vice Dean for the NUS Office of Admissions. Over 2 decades\, Dr. Sim has conducted research in Biometrics\, Computer Vision\, Computational Photography\, and Privacy in Images. He served as Second Vice President in the International Association for Pattern Recognition from 2020 to 2022\, and is still chairing a committee there. He is also active in the IEEE Biometrics Council\, where for the past two years he chaired the Selection Working Group for the annual awards given by the Council. Dr. Sim obtained his PhD from Carnegie Mellon University in 2002\, his MSc from Stanford University in 1991\, and his SB from the Massachusetts Institute of Technology in 1990.
URL:https://ieee-biometrics.org/event/power-papers-some-practical-pointers/
CATEGORIES:Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241114T130000
DTEND;TZID=America/New_York:20241114T140000
DTSTAMP:20260405T025405
CREATED:20241018T094845Z
LAST-MODIFIED:20241206T122847Z
UID:10000009-1731589200-1731592800@ieee-biometrics.org
SUMMARY:Qualitative Methods for Biometrics Research: Exploring User Behavior and System Design
DESCRIPTION:Title: Qualitative Methods for Biometrics Research: Exploring User Behavior and System Design\nSpeaker: Dr. Tempestt Neal\, University of South Florida\nWhen: November 14\, 2024 at 1:00 pm ET (7:00 pm CEST\, 10:00 am PST)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nQualitative research is a method of inquiry aimed at gaining a deep understanding of social phenomena by relying on individuals’ direct experiences. Unlike quantitative research\, which seeks to quantify variables and analyze numerical data\, qualitative research emphasizes the exploration of complex\, subjective experiences\, meanings\, and social dynamics. Qualitative exploration can greatly enhance the field of biometrics by offering deep insights into complex issues like bias in biometric systems and user acceptability. These methods allow for a more detailed understanding of how these systems are perceived and experienced\, which is crucial for addressing ethical concerns and improving overall effectiveness. This webinar aims to provide biometrics researchers with a foundational understanding of qualitative research methods and their applicability to the field. \nAbout The Speaker\nDr. Tempestt Neal is an Associate Professor of Computer Science and Engineering at the University of South Florida. She leads the Cyber Identity and Behavior Research (CIBeR) Lab\, which primarily conducts quantitative and qualitative research on mobile-based sensing for biometrics and human behavior understanding in interdisplinary applications\, as well as cybersecurity awareness among populations historically underrepresented in Science and Engineering. The lab’s research also spans natural language processing\, mostly including the\nstudy of linguistic cues as a cognitive biometric trait\, as well as implicit opinion mining tasks.Tempestt holds a Ph.D. from the University of Florida (2018)\, M.S. from Clemson University (2014)\, and B.S. from South Carolina State University (2012). Dr. Neal has served as an Associate Editor for the IEEE Biometrics Council Newsletter and Guest Editor for the MDPI Electronics Special Issue on Recent Advances in\nBiometric Security in IoT Based on Machine Learning. She has also served on the organizing committee for several workshops in AI and Biometrics. She was a recipient of the University of Florida Delores Auzenne Dissertation Award and National Science Foundation CyberCorps Scholarship for Service Fellowship. She was also recognized as 2021/22 McKnight Junior Faculty Fellow\, and received NSF CAREER Award in 2023.
URL:https://ieee-biometrics.org/event/qualitative-methods-for-biometrics-besearch/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://ieee-biometrics.org/wp-content/uploads/tempestt_neal_banner.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240424T100000
DTEND;TZID=America/New_York:20240424T110000
DTSTAMP:20260405T025405
CREATED:20240408T034621Z
LAST-MODIFIED:20240524T085745Z
UID:10000008-1713952800-1713956400@ieee-biometrics.org
SUMMARY:Biometric Recognition in the Era of AI Generated Content (AIGC)
DESCRIPTION:Title: Biometric Recognition in the Era of AI Generated Content (AIGC)\nSpeaker: Prof. Dr. Xiaoming Liu\, Michigan State University\nWhen: April 24\, 2024 at 10 am EST (4:00 pm CEST\, 7 am PST\, 10 pm Beijing Time)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nIn recent years we have witnessed impressive progress on AIGC (Artificial Intelligence Generated Content). AIGC has many applications in our society\, as well as benefits diverse computer vision tasks. In the context of biometric recognition\, we believe that the AIGC era calls for innovation on both data generation and how to leverage the generated data. In this talk\, I will present a number of efforts that showcases these innovations\, including: 1) how to bridge the gap between the training data distribution and test data distribution; 2) how to generate a complete synthetic database to train face recognition models; 3) how to estimate the 3D body shape from an image of clothed human body; and 4) how to manipulate a human body image by changing its body pose\, clothing style\, background\, and identity. In the end\, we will briefly overview other research efforts in the Computer Vision Lab at Michigan State University. \nAbout The Speaker\nDr. 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 is also a visiting scientist at Google Research. He received Ph.D. degree from Carnegie Mellon University in 2004. Before joining MSU in 2012\, he was a research scientist at General Electric 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 csrankings.org. He is an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence. He has authored more than 200 publications and has filed 35 patents. His work has been cited over 25000 times with an H-index of 76. He is a fellow of IEEE and IAPR. \n 
URL:https://ieee-biometrics.org/event/biometric-recognition-in-the-era-of-ai-generated-content-aigc/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://ieee-biometrics.org/wp-content/uploads/prof_liu_banner.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Shanghai:20240117T110000
DTEND;TZID=Asia/Shanghai:20240117T110000
DTSTAMP:20260405T025405
CREATED:20240523T130938Z
LAST-MODIFIED:20240524T085846Z
UID:10000007-1705489200-1705489200@ieee-biometrics.org
SUMMARY:Continuous Authentication - Still a Thing after 20 years?
DESCRIPTION:Title: Continuous Authentication – Still a Thing after 20 years?\nSpeaker: Assoc. Prof. Dr. Terence Sim\, National University of Singapore\nWhen: January 17\, 2024 at 11 am Beijing Time (8:30 am IST\, 7 pm PST\, 10 pm ET on 16 Jan 2024)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nIn this webinar\, the speaker will explore the concept of Continuous Authentication (CA)\, a security measure where a computer system continuously verifies the identity of the user during a session. This approach is contrasted with One-Time Authentication (OTA)\, which only verifies identity at the session’s start. Although CA was first proposed in 2000\, it has gained significant attention recently due to the widespread use of smartphones and IoT devices. The webinar will cover the evolution and progress of CA over the past twenty years\, addressing the key challenges it faces and suggesting potential areas for future research. CA is intended to enhance\, not replace\, OTA methods. \nAbout The Speaker\nDr. Terence Sim is an Associate Professor at the School of Computing\, National University of Singapore (NUS). He is also Vice Dean for the NUS Office of Admissions. Over 2 decades\, Dr. Sim has conducted research in Biometrics\, Computer Vision\, Computational Photography\, and Privacy in Images. He served as Second Vice President in the International Association for Pattern Recognition from 2020 to 2022\, and is still chairing a committee there. He is also active in the IEEE Biometrics Council\, where for the past two years he chaired the Selection Working Group for the annual awards given by the Council. Dr. Sim obtained his PhD from Carnegie Mellon University in 2002\, his MSc from Stanford University in 1991\, and his SB from the Massachusetts Institute of Technology in 1990. He is also a proud alumnus of Raffles Institution\, the oldest school in Singapore. \n 
URL:https://ieee-biometrics.org/event/continuous-authentication-still-a-thing-after-20-years-2/
CATEGORIES:Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20231018T100000
DTEND;TZID=America/Halifax:20231018T110000
DTSTAMP:20260405T025405
CREATED:20230922T082027Z
LAST-MODIFIED:20240524T085922Z
UID:10000006-1697623200-1697626800@ieee-biometrics.org
SUMMARY:Synthetic Realities\, Trust and Biometrics: What’s Ahead?
DESCRIPTION:Title:  Synthetic Realities\, Trust and Biometrics: What’s Ahead?\nSpeaker: Prof. Dr. Anderson Rocha\, University of Campinas (Unicamp)\, Brazil\nWhen: October 18\, 2023 at 10 am Eastern Time (7am PST\, 4 pm CEST\, 10 pm Beijing Time)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nIn this talk\, we will discuss how our society is currently experiencing what is referred to as Synthetic Realities. We will delve into the significant technologies that are shaping these new realities\, such as ChatGPT\, Midjourney\, Dall-E2\, StableDiffusion\, and others. More importantly\, we will explore the telltale signs that can help identify such creations or forgeries and pinpoint the research challenges ahead\, as well as the implications of these fakes for society at large. \nAbout The Speaker\nAnderson Rocha is a full professor of Artificial Intelligence and Digital Forensics at the Institute of Computing\, University of Campinas (Unicamp)\, Brazil. He serves as the Director of the Artificial Intelligence Lab\, Recod.ai\, and as the Institute Director for the 2019-2023 term. He has actively worked as an editor for important international journals\, such as the IEEE TIFS\, Elsevier JVCI\, and IEEE SPL\, as well as the IEEE Security &Privacy Magazine. He is an elected affiliate of the Brazilian Academy of Sciences and the Brazilian Academy of Forensic Sciences. He has been elected twice as a member of the IEEE IFS Technical Committee and served as its chair for the 2019-2020 term. He has received recognition as a Microsoft Research Faculty Fellow and a Google Research Faculty Fellow\, prestigious awards bestowed by Microsoft Research and Google to outstanding researchers\, respectively. In 2016\, he was honored with the Tan Chin Tuan (TCT) Fellowship. Furthermore\, he has been ranked in the Top 2% among the most influential scientists worldwide\, according to recent studies conducted by Research.com and Stanford/PlosOne.In 2023\, he was recognized as a LinkedIn TopVoice in Artificial Intelligence for his continuous efforts in raising awareness about AI and its potential impacts on society at large. \n 
URL:https://ieee-biometrics.org/event/synthetic-realities-trust-and-biometrics-whats-ahead-2/
CATEGORIES:Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20230524T100000
DTEND;TZID=Asia/Singapore:20230524T110000
DTSTAMP:20260405T025405
CREATED:20230404T162828Z
LAST-MODIFIED:20240524T085957Z
UID:10000005-1684922400-1684926000@ieee-biometrics.org
SUMMARY:Remote Photoplethysmography Based 3D Facial Mask Presentation Attack Detection
DESCRIPTION:Title: Remote Photoplethysmography Based 3D Facial Mask Presentation Attack Detection\nSpeaker: Prof. Dr. Pong Chi Yuen\, Hong Kong Baptist University\, China\nWhen: May 24\, 2023 at 10am Hong Kong time (4 am CEST\, and May 23 at 9 pm CDT\, 10pm EDT)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nAlthough face recognition is widely used in many applications\, problems related to face presentation attack detection (PAD) are still unsolved. Common face presentation attacks involve images\, videos\, and 3D masks. Of these\, 3D mask attacks are the most challenging to detect due to their high-quality and low cost. One of the promising approaches in addressing the 3D mask presentation attacks is remote photoplethysmography (rPPG). Our speaker will first discuss the basic principle of using rPPG technology for face PAD. He will also present past and recent methods for rPPG-based face PAD and discuss guidelines for future research in this field. \nAbout The Speaker\nProf. Pong Chi Yuen is a Chair Professor in Computer Science and Associate Dean at Hong Kong Baptist University. He received his Ph.D. degree in Electrical and Electronic Engineering in 1993 from The University of Hong Kong. Currently\, he is a Chair Professor in Computer Science and Associate Dean of Science Faculty\, Hong Kong Baptist University. Dr. Yuen has been involved in various conferences and served as the director of Croucher ASI on biometric authentication and biometric security and privacy. He has received the Outstanding Editorial Board Service Award in 2018 and served as Vice President of the IEEE Biometrics Council. Dr. Yuen has received the first and second prize Natural Science Awards from Guangdong Province and the Ministry of Education\, China\, respectively. He is a Fellow of IAPR and currently serves as Senior Area Editor of IEEE Transactions on Information Forensics and Security and Associate Editor of IEEE Transactions on Biometrics\, Behaviour\, and Identity Science. \n 
URL:https://ieee-biometrics.org/event/remote-photoplethysmography-based-3d-facial-mask-presentation-attack-detection/
CATEGORIES:Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20230329T100000
DTEND;TZID=Asia/Singapore:20230329T110000
DTSTAMP:20260405T025405
CREATED:20230307T161342Z
LAST-MODIFIED:20240524T090132Z
UID:10000002-1680084000-1680087600@ieee-biometrics.org
SUMMARY:Heterogeneous Face Recognition
DESCRIPTION:Title: Heterogeneous Face Recognition\nSpeaker: Prof. Dr. Ran He\, National Laboratory of Pattern Recognition\, China\nWhen: March 29\, 2023 at 10am Beijing time (4 am CEST\, and March 28 at 9 pm CDT\, 10pm EDT)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nUbiquitous vision sensors not only facilitate the wide application of face recognition but also generate various heterogeneous sets of facial images. Matching faces across different sensing modalities raises the problem of heterogeneous face recognition (HFR) or cross domain face recognition. Due to significant difference in sensing processes\, heterogeneous images of the same subject have large appearance variations\, which has distinguished HFR from regular visible face recognition. During last several years\, our research group have investigated a range such problems and developed applications. This talk will focus on research and recent advances of heterogeneous face recognition\, including fundamental models\, face recognition method and recognition from synthesis. \nAbout The Speaker\nProf. Dr. Ran He\, National Laboratory of Pattern Recognition\, Chin\nDr. Ran He received the PhD degrees in pattern recognition and intelligence system from Institute of Automation\, Chinese Academy of Sciences (CASIA)\, China\, in 2009. He has been a professor at National Laboratory of Pattern Recognition since December\, 2016. He is now directing the visual perception and machine learning group. He has published two books and more than 200 papers in refereed journals and conference proceedings in the areas of computer vision\, pattern recognition\, and image processing. He is the editor board member of IEEE TIP\, IEEE T-BIOM and Pattern Recognition. He was the area chair of CVPR/ECCV/ICML/NeurIPS. His research won IEEE SPS Young Author Best Paper Award (2020)\, IAPR ICPR Best Scientific Paper Award (2020)\, and IEEE ICB Honorable Mention Paper Award (2019). He is the 2022 recipient of CAS Outstanding Tutor Award. He is a senior member of the IEEE and also a Fellow of IAPR.
URL:https://ieee-biometrics.org/event/heterogeneous-face-recognition/
CATEGORIES:Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20221207T100000
DTEND;TZID=Europe/Paris:20221207T110000
DTSTAMP:20260405T025405
CREATED:20230305T030400Z
LAST-MODIFIED:20240524T090205Z
UID:10000001-1670407200-1670410800@ieee-biometrics.org
SUMMARY:Face Presentation Attack Detection
DESCRIPTION:Title: Face Presentation Attack Detection\nSpeaker: Prof. Dr. Sébastien Marcel\, University de Lausanne/IDIAP\, Switzerland\nWhen: 7 December 2022\, at 10am CET (5 pm CST\, 4am ET)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nIn biomatrics\, Presentation Attacks (PS also referred to as spoofing) are performed by falsifying the biometric trait and then presenting this falified information to the biometric system.  One such example is to fool a fingerprint system by copying the fingerprint of another person and creating an artificial or gummy finger which can then be poresented to the biometric system to falsey gain access.  This is an issue that needs to be addressed because it has recently been shown that conventional biometric techniques are vulerable to presentation attacks.  One of the main challenges in Presentation Attack Detection (PAD also referred to as anti-spoofing) is to find a set of features and models (mostly classifiers) that allows systems to effectively distinguish signals that were directly emitted by a human fros those reproduced by an attacker.  This talk will present an overivew of typical face PSs and PAD techniques. \nAbout The Lecturer\nProf. Dr. Sébastien Marcel\, University de Lausanne/IDIAP\, Switzerland\nSébastien Marcel (IEEE Senior member – H-index 63) is Professor at the University de Lausanne (UNIL) at the School of Criminal Justice and lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL) where he is teaching on “Biometrics” and “Fundamentals in Statistical Pattern Recognition” respectively. He serves on the Program Committee of several scientific journals and international conferences in pattern recognition and computer vision. He 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 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 is Associate Editor of IEEE Transactions on Biometrics and Identity Science. He was Associate Editor of IEEE Signal Processing Letters\, Associate Editor of IEEE Transactions on Information Forensics and Security\, a Co-editor of the “Handbook of Biometric Anti-Spoofing”\, 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).
URL:https://ieee-biometrics.org/event/face-presentation-attack-detection/
CATEGORIES:Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221012T130000
DTEND;TZID=America/New_York:20221012T140000
DTSTAMP:20260405T025405
CREATED:20230307T162338Z
LAST-MODIFIED:20240524T090252Z
UID:10000003-1665579600-1665583200@ieee-biometrics.org
SUMMARY:Combatting Deep Fakes
DESCRIPTION:Recording of the Webinar\n \nAbstract\nIn the early days of the Russian invasion of Ukraine\, President Zelenskyy warned the world that Russia’s digital disinformation machinery would create a deep fake of him admitting defeat. By mid-March of 2022\, a deep fake of Zelenskyy appeared with just this message. This video was eventually debunked\, but not before it spread across social media and appeared briefly on Ukrainian television. Three months later\, the mayors of Berlin\, Madrid\, and Vienna collectively spoke for nearly 30 minutes with a deep-fake version of Kiev Mayor Klitschko\, before realizing they were being duped. In addition to adding jet fuel to disinformation campaigns\, this new breed of synthetic media also makes it easier to deny reality — the so-called liar’s dividend — as seen by the recent baseless claim that video addresses by President Biden are deep fakes deployed to conceal his death. I will discuss how deep fakes are made\, how they are being weaponized\, and how they can be detected. \nAbout The Speaker\nProf. Hany Farid\, University of California\, Berkeley\, USA\nDr. Hany Farid is a Professor at the University of California\, Berkeley with a joint appointment in Electrical Engineering & Computer Sciences and the School of Information. His research focuses on digital forensics\, forensic science\, misinformation\, image analysis\, and human perception. He received his undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989\, and his Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT\, he joined the faculty at Dartmouth College in 1999 where he remained until 2019. He is the recipient of an Alfred P. Sloan Fellowship\, a John Simon Guggenheim Fellowship\, and a Fellow of the National Academy of Inventors.
URL:https://ieee-biometrics.org/event/combatting-deep-fakes/
CATEGORIES:Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220127T090000
DTEND;TZID=America/New_York:20220127T100000
DTSTAMP:20260405T025405
CREATED:20230307T162542Z
LAST-MODIFIED:20230310T013033Z
UID:10000004-1643274000-1643277600@ieee-biometrics.org
SUMMARY:Face Recognition and Surveillance: Enhancing Privacy and Fairness
DESCRIPTION:About The Speaker\nProf. Arun Ross\, Michigan State University\, USA\nArun Ross is the John and Eva Cillag Endowed Chair in the College of Engineering and a Professor in the Department of Computer Science and Engineering at Michigan State University. He also serves as the Site Director of the NSF Center for Identification Technology Research (CITeR) and the Director of the iPRoBe Lab. Prior to joining MSU in 2013\, he was a faculty member at West Virginia University (WVU) from 2003 to 2012.
URL:https://ieee-biometrics.org/event/face-recognition-and-surveillance-enhancing-privacy-and-fairness/
CATEGORIES:Webinar
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