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IEEE Biometrics Council has introduced the Distinguished Lecturers Program (DLP) to support education related activities for the biometrics community. The purpose of DLP is to increase awareness about topics relevant to Biometrics by creating a pool of leading experts who are willing to speak in meetings hosted by IEEE Chapters and Sections. The operation of DLP is governed by a charter which council has recently adopted and is available here. The council has earlier endorsed two Distinguished Biometrics Lecturers.

For information about inviting a speaker for an IEEE event, please send an email to the VP of Education (This email address is being protected from spambots. You need JavaScript enabled to view it.)


kwb 2Kevin W. Bowyer is the Schubmehl-Prein Professor and Chair of the Department of Computer Science and Engineering at the University of Notre Dame. His research efforts currently focus on biometrics and on data mining. His biometrics work includes efforts in support of the Face Recognition Grand Challenge, Face Recognition Vendor Test, and Iris Challenge Evaluation programs. His paper “A survey of approaches and challenges in 3D and multi-modal 3D 2D face recognition,” published in Computer Vision and Image Understanding, was number one on the CVIU most-downloaded list for two quarters and in the top ten for seven consecutive quarters. His paper “Face Recognition Technology: Security Versus Privacy” published in IEEE Technology and Society, was recognized with a 2005 "Award of Excellence" from the Society for Technical Communication. Professor Bowyer is the founding General Chair of the IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS). He is a Fellow of the IEEE, and a Golden Core Member of the IEEE Computer Society. He has served as Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence, and serves or has served on the editorial boards of Computer Vision and Image Understanding, Image and Vision Computing Journal, Machine Vision & Applications, International Journal of Pattern Recognition and Artificial Intelligence, Pattern Recognition, Electronic Letters in Computer Vision and Image Analysis, and the Journal of Privacy Technology.

jwaymanJim Wayman is a research administrator in the Office of Graduate Studies and Research at San Jose State University. He received the Ph.D. degree in engineering in 1980 from the University of California, and has worked continuously in the field of automated human recognition since 1984. In the 1980s, under contract to the U.S. Department of Defense, he invented and developed a biometric authentication technology based on the acoustic resonances of the human head. He joined San Jose State University in 1995 to direct the Biometric Identification Research Program, serving as Director of the U.S. National Biometric Test Center from 1997-2000. He is the co-editor of Biometric Systems (Springer, London, 2005), a Fellow of the British Institution of Engineering and Technology, a Principal UK Expert (PUKE) of the British Standards Institution (BSI) national body to the ISO/IEC JTC1 SC37 standards committee, a "technical assessor" in the (US) NIST Voluntary Laboratory Assessment Program, and international editor of ISO/IEC 19794-13 standard on voice data format. He represents BSI on the JTC1 Information Technology Vocabulary Maintenance Team. Professor Jim previously served as a member of the U.S. National Academies of Science/National Research Council (NRC) "Whither Biometrics?" and "Authentication Technologies and their Implications for Privacy" committees and Panel on Information Technology. He holds 4 patents in speech processing and has served as a paid biometrics advisor to 9 national governments.

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