As a research scientist at PARC, Matthew Shreve explores human activity and behavior recognition algorithms applied to surveillance technologies. His research interests include computer vision, image processing, pattern recognition, machine learning, and artificial intelligence. Since joining Xerox in 2013, Matthew has been involved in several projects including recognizing the body gestures and facial expressions of customers in a retail environment, as well as outdoor vehicle monitoring which includes tracking and recognizing criminal activity such as vandalism. Dr. Shreve holds a Ph.D. in Computer Science from the University of South Florida and an M.S. degree in Mathematics from Youngstown State University. He has received several professional awards including the IEEE International Transactions on Transportation Systems Best Journal Award for 2010-2011 and the USF Engineer Best Poster Award in 2009. Matthew is a member of the Institute of Electrical and Electronic Engineers (IEEE) and has served on the organizing committee of top IEEE conferences such as the International Conference on Pattern Recognition. He also serves as a reviewer/referee for several journals and conferences such as Pattern Recognition Letters, IEEE Transactions on Systems, Man, and Cybernetics - Part B, Transportation Research - Part C, Signal Image and Video Processing, The Journal on Electronic Imaging, and Intelligent Transportation Systems. Matthew is also an adjunct professor in the Department of Electrical and Computer Engineering at the University of Rochester.