Dr. Robert Wright, AIS, Senior Advising Engineer
Binghamton University, Ph.D., Computer Science, 2014
Dr. Robert Wright brings 15 years of proven experience developing advanced machine learning technologies that deliver revolutionary capabilities for the DoD. Dr. Wright is a senior advising research scientist with AIS and a Principal Investigator for the VIC3TORS effort, applying his machine learning expertise to advance biometric verification and attribution. He received his Ph.D. in computer science from Binghamton University in 2014 for his work in developing reinforcement algorithms that learn efficiently from experience. He has published 10+ papers and journal articles on machine learning in top tier scientific venues and was awarded “Best Paper” at the 2013 European Conference on Machine Learning. Prior to AIS, Dr. Wright was a research scientist with the AFRL and co-lead for the Autonomy Community of Interest: Machine Perception Reasoning and Intelligence technical challenge area for the Office of the Secretary of Defense. In his 13 years with AFRL, he led several research efforts in machine learning and autonomous systems. His research interests and areas of expertise include reinforcement learning, deep learning, data mining, biometrics, multi-agent systems, and genetic algorithms.
CSIAC Reports
Learning to Win: Making the Case for Autonomous Cyber Security Solutions
Abstract Machine learning is revolutionizing many industries and forever changing how we interact with computer systems and each other. The revolution is occurring in cyber security, where machine learning is already being applied to assist human analysts and security experts…
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Podcasts / Webinars
CSIAC Webinars » Learning to Win: Making the Case for Autonomous Cyber Security Solutions
Machine learning is revolutionizing many industries and forever changing how we interact with computer systems and each other. The revolution is particularly relevant to cyber security, where machine learning is used to help human analysts make sense of increasingly large…
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