Matthew Shreve

Matthew Shreve received the M.S. degree in mathematics from Youngstown State University and the Ph.D. degree in Computer Science from University of South Florida. Since joining Xerox in 2013, he has been involved in several projects including recognizing the body gestures and facial expressions of customers in a retail environment, and outdoor vehicle monitoring, which includes tracking and recognizing criminal activity, such as vandalism. He is also an Adjunct Professor with the Department of Electrical and Computer Engineering, University of Rochester. His research interests include computer vision, image processing, pattern recognition, machine learning, and artificial intelligence. He has served on the organizing committee of top IEEE conferences, such as the International Conference on Pattern Recognition. He has received several professional awards, including the IEEE International Transactions on Transportation Systems Best Journal Award from 2010 to 2011 and the USF Engineer Best Poster Award in 2009. 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.