Beilei Xu’s research interests are image/video analytics, machine learning and statistical modeling. Prior to joining University of Rochester, Beilei was a senior research scientist at PARC, Conduent and Xerox, where she contributed and led a variety of projects ranging from data analytic research in managed print services, subsystem modeling of xerographic marking process, image rendering and image-based defect detection, to computer vision and machine learning research in healthcare and transportation.
Beilei holds a Ph.D. in Medical Physics from University of Chicago. She is a certified Design for Lean Six Sigma Black Belt. She has been a reviewer/referee for several journals and served on program committees and chaired sessions of conferences in the areas of image/video processing, healthcare, and transportation. She has served on the review panel for the National Science Foundation grant review committees. Beilei has published 27 papers, a book chapter and holds 120 US patents with more pending applications. She is a recipient of the Xerox Innovation Group President’s Award and the Xerox Anne Mulcahy Inventor Award for her contributions to Xerox intellectual property.