Organizers

Arun Ross

Dr. Arun Ross is a Professor in the Department of Computer Science and Engineering at Michigan State University. He was in the faculty of West Virginia University between 2003 and 2012 where he received the Benedum Distinguished Scholar Award for excellence in creative research and the WVU Foundation Outstanding Teaching Award. His research interests include biometrics, computer vision and machine learning. 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. Ross is a recipient of the NSF CAREER Award and was designated a Kavli Fellow by the US National Academy of Sciences in 2006. In recognition of his contributions to the field of pattern recognition and biometrics, the International Association of Pattern Recognition (IAPR) honored him with the JK Aggarwal Prize in 2014 and the Young Biometrics Investigator Award in 2013 (email: rossarun@cse.msu.edu; website: https://www.cse.msu.edu/~rossarun/).

John Howard

Dr. John Howard earned his Ph.D. in Computer Science from Southern Methodist University. His thesis was on pattern recognition models for identifying subject specific match probability. He has more than a dozen peer-reviewed publications across his research interests, which include biometrics, computer vision, machine learning, testing human machine interfaces, pattern recognition, and statistics. He has served as the principal investigator on numerous R&D efforts across the intelligence community, Department of Defense, and other United States Government agencies. He is currently the Lead Data Scientist at the SAIC Identity and Data Sciences Laboratory which conducts biometrics related research at the Maryland Test Facility (email: john@mdtf.org; website: http://jjhoward.org).

Michael King

Dr. Michael King joined Florida Institute of Technology’s Harris Institute for Assured Information as a Research Scientist in 2015 and holds a joint appointment as Associate Professor in the Department of Computer Sciences and Cyber Security. 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 to include: 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, Defense Science Board, and 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 from 2005 – 2012 (email: michaelking@fit.edu; website: https://www.fit.edu/faculty-profiles/5/michael-king/).

Yevgeniy Sirotin

Dr. Yevgeniy Sirotin holds a Ph.D. in Neurobiology and Behavior from Columbia University and has diverse research interests in behavior and human computer interaction. His past research spans mathematical psychology (cognitive modeling), neurophysiology (multi-spectral imaging of the brain), psychometrics (mechanisms of visual and olfactory perception), biometrics (design and testing of identity systems), and human factors (usability). He currently works as Principal Investigator and Manager of the SAIC Identity and Data Sciences Laboratory which supports applied research in biometric identity technologies at the Maryland Test Facility (email: yevgeniy@mdtf.org ; website: http://ysirotin.org)