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Face Recognition: Discussing Performance and Equitability

About this event

This webinar will provide viewers with a high level introduction to the components and functions of face recognition systems. Our expert speakers will distinguish between face recognition and image classification, which is often misunderstood and incorrectly reported, as well as providing a discussion on the performance and equitability of these systems.

Arun Vemury, Director Biometric and Identity Technology Center, Department of Homeland Security Science and Technology Directorate, US

Arun Vemury, as Director of the Biometric and Identity Technology Center, provides leadership and guidance to enable the development of bleeding edge and cost-effective biometric, identity, and privacy-enhancing technologies and capabilities. Arun is responsible for anticipating future needs, setting research agendas, and coordinating the activities of international subject matter experts to close gaps in knowledge and capabilities. Arun has 20 years of experience managing research, development, test, and evaluation (RDT&E) programs, partnering with industry to developing new and advanced capabilities, and influencing the development of international standards to promote mature and interoperable capabilities. He has received numerous government awards for program management, science and engineering, and collaboration.

Yevgeniy Sirotin, Principal Investigator, SAIC Identity and Data Sciences Laboratory, Maryland Test Facility

Yevgeniy is the Principal Investigator for the SAIC Identity and Data Sciences Laboratory at the Maryland Test Facility (MdTF) supporting DHS Science and Technology. Yevgeniy holds a PhD degree in Neurobiology and Behavior from Columbia University and has nearly two decades of diverse experience in technology and scientific research. His current work at the MdTF focuses on designing and executing efficient technology evaluations in scenarios representative of government and industry use-cases. Current research includes measuring the performance of face recognition and other biometric technologies with users diverse in age, race, and gender. This work has stressed the importance of evaluating full biometric systems under controlled conditions and has addressed questions regarding the usability of biometric systems, demographic effects in biometric system performance, and human teaming with biometric algorithms. Yevgeniy lives in Maryland where he enjoys spending time outdoors with his wife and two young boys.

John Howard, Principal Data Scientist, Maryland Test Facility, US

Dr. John Howard is a computer scientist and biometrics researcher.  He received his Ph.D. in Computer Science from the Bobby B. Lyle School of Engineering at Southern Methodist University where his dissertation focused on pattern recognition models for understanding subject specific variations in biometric performance. Dr. Howard has more than a dozen peer reviewed publications over the course eight years in industry and six years in academia.  His research interests include biometrics, computer vision, machine learning, testing human machine interfaces, pattern recognition, and statistics.  He has served as the principal investigator on numerous research and development efforts across the United States Government and his work has been cited by media outlets such as Wired and the Washington Post as well as in testimony before the United States Congress.  He currently is the Principal Data Scientist at the Maryland Test Facility, a biometrics research and test lab that supports the U.S. Department of Homeland Security.

Hosted by

  • Guest speaker
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    Yevgeniy Sirotin Scientist @ The Maryland Test Facility

  • Guest speaker
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    Arun Vemury Director, Biometric & Identity Technology Center @ US DHS Science and Technology Directorate

  • Guest speaker
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    John Howard Scientist @ The Maryland Test Facility

Festival of Identity

Exploring next-generation government, commercial & citizen identity solutions