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Kevin Bowyer is the Schubmehl-Prein Family Professor in the Department of Computer Science and Engineering at the University of Notre Dame. He is a Fellow of IAPR, IEEE and AAAS, and received an IEEE Computer Society Technical Achievement Award "for pioneering contributions to the science and engineering of biometrics", the inaugural IEEE Biometrics Council Meritorious Service Award, and the 2023 IEEE Biometrics Council Leadership Award.
Kevin Bowyer is the Schubmehl-Prein Family Professor in the Department of Computer Science and Engineering at the University of Notre Dame. He is a Fellow of IAPR, IEEE and AAAS, and received an IEEE Computer Society Technical Achievement Award "for pioneering contributions to the science and engineering of biometrics", the inaugural IEEE Biometrics Council Meritorious Service Award, and the 2023 IEEE Biometrics Council Leadership Award.
Dr. Michael King joined the Florida Institute of Technology’s Harris Institute for Assured Information as a Research Scientist in 2015 and holds a joint appointment as an Associate Professor in the Department of Electrical Engineering and Computer Science. Prior to joining academia, Dr. King served for more than 10 years as a scientific research/program management professional in the United States Intelligence Community. While in government, Dr. King created, directed, and managed research portfolios covering a broad range of topics related to biometrics and identity, including advanced exploitation algorithm development, advanced sensors and acquisition systems, and computational imaging. He crafted and led the Intelligence Advanced Research Projects Activity’s (IARPA) Biometric Exploitation Science and Technology (BEST) Program to transition technology deliverables successfully to several Government organizations. Recognized as an expert in biometrics and identity intelligence, he has been invited to brief the Director of National Intelligence, Congressional staffers and science advisers, the Defense Science Board, and the Intelligence Science Board. He also served as Intelligence Community Department Lead to the White House Office of Science and Technology Policy's National Science and Technology Council Subcommittee on Biometrics and Identity Management (2005 – 2012).
Dr. Michael King joined the Florida Institute of Technology’s Harris Institute for Assured Information as a Research Scientist in 2015 and holds a joint appointment as an Associate Professor in the Department of Electrical Engineering and Computer Science. Prior to joining academia, Dr. King served for more than 10 years as a scientific research/program management professional in the United States Intelligence Community. While in government, Dr. King created, directed, and managed research portfolios covering a broad range of topics related to biometrics and identity, including advanced exploitation algorithm development, advanced sensors and acquisition systems, and computational imaging. He crafted and led the Intelligence Advanced Research Projects Activity’s (IARPA) Biometric Exploitation Science and Technology (BEST) Program to transition technology deliverables successfully to several Government organizations. Recognized as an expert in biometrics and identity intelligence, he has been invited to brief the Director of National Intelligence, Congressional staffers and science advisers, the Defense Science Board, and the Intelligence Science Board. He also served as Intelligence Community Department Lead to the White House Office of Science and Technology Policy's National Science and Technology Council Subcommittee on Biometrics and Identity Management (2005 – 2012).
Arun Ross is the Martin J. Vanderploeg Endowed Professor in the Department of Computer Science and Engineering at Michigan State University (MSU) and the Site Director of the NSF Center for Identification Technology Research. He is the coauthor of the textbook “Introduction to Biometrics” and the monograph “Handbook of Multibiometrics,” and the co-editor of “Handbook of Biometrics”. He is a recipient of the IAPR JK Aggarwal Prize, the IAPR Young Biometrics Investigator Award, and the NSF CAREER Award. 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. In June 2022, he testified before the US House Science, Space, and Technology Committee on the topic of Biometrics and Personal Privacy. He 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.
Arun Ross is the Martin J. Vanderploeg Endowed Professor in the Department of Computer Science and Engineering at Michigan State University (MSU) and the Site Director of the NSF Center for Identification Technology Research. He is the coauthor of the textbook “Introduction to Biometrics” and the monograph “Handbook of Multibiometrics,” and the co-editor of “Handbook of Biometrics”. He is a recipient of the IAPR JK Aggarwal Prize, the IAPR Young Biometrics Investigator Award, and the NSF CAREER Award. 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. In June 2022, he testified before the US House Science, Space, and Technology Committee on the topic of Biometrics and Personal Privacy. He 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.
Karl Ricanek, Jr. is a Professor in the Department of Computer Science and Intelligent Systems Engineering (ISE) and Director of the I3S Institute at University of North Carolina Wilmington. He is also the CEO and co-Founder for Lapetus Solutions which is a Health Intelligence company leveraging facial recognition and facial analytics to develop de novo solutions in InsurTech and FinTech. He is the creator of the “MORPH” face image dataset, a longitudinal image database of normal adult age-progression, the largest public dataset of minority faces. MORPH is one of the largest commercially available face datasets with over 500,000 images with dozens of data points per image.
Karl Ricanek, Jr. is a Professor in the Department of Computer Science and Intelligent Systems Engineering (ISE) and Director of the I3S Institute at University of North Carolina Wilmington. He is also the CEO and co-Founder for Lapetus Solutions which is a Health Intelligence company leveraging facial recognition and facial analytics to develop de novo solutions in InsurTech and FinTech. He is the creator of the “MORPH” face image dataset, a longitudinal image database of normal adult age-progression, the largest public dataset of minority faces. MORPH is one of the largest commercially available face datasets with over 500,000 images with dozens of data points per image.
Nisha Srinivas is the Director of Research at Pangiam, a company that focuses on solving security, facilitation, and operational challenges through innovation and emerging technologies. She is responsible for exploring and evaluating cutting-edge AI technologies, algorithms, and methodologies that enhance Pangiam's products and services. Before joining Pangiam, she worked as a Research and Development Associate in the Biometrics and Identity Research Group at Oak Ridge National Labs. Over the span of the last decade, Nisha Srinivas has been dedicated to tackling intricate challenges associated with facial recognition, biometrics, and identity science, specifically within the domains of national security and law enforcement. Her work encompasses a diverse set of dimensions spanning technical, operational, ethical, and strategic aspects.
Nisha Srinivas is the Director of Research at Pangiam, a company that focuses on solving security, facilitation, and operational challenges through innovation and emerging technologies. She is responsible for exploring and evaluating cutting-edge AI technologies, algorithms, and methodologies that enhance Pangiam's products and services. Before joining Pangiam, she worked as a Research and Development Associate in the Biometrics and Identity Research Group at Oak Ridge National Labs. Over the span of the last decade, Nisha Srinivas has been dedicated to tackling intricate challenges associated with facial recognition, biometrics, and identity science, specifically within the domains of national security and law enforcement. Her work encompasses a diverse set of dimensions spanning technical, operational, ethical, and strategic aspects.
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