Terry Adams has worked for the U.S. Department of Defense, since 1999. His primary interests are in video processing, computer vision and development of stream processing architectures for large-scale data. In 2011, Dr. Adams was named a Science & Technology Fellow by the Office of the Directory of National Intelligence. He continues to research areas ranging from object detection and recognition, to content-based copy detection. He has a strong interest in extraction of rich features from video and still image, matching salient points (i.e. RANSAC, ARRSAC), and reconstruction of 3D geometric information. He regularly serves on advisory panels for the federal government, and has acted as program manager on multiple research projects.
Terry maintains an external research program focusing on dynamical systems, ergodici theory, probability, and statistical learning theory. He's authored or co-authored articles in Annals of Probability, the American Mathematical Society, IEEE and Ergodic Theory & Dynamical Systems. He has a strong interest in time series analysis, with applications to real-world noisy data. Prior to jlining the federal government, Terry held teaching positions at The Ohio State Uinversity and the University of North Carolina at Chapel Hill.