Xiang Li received her Ph.D. degree from University of Florida, her research interests are centered on the large-scale optimization and its intersection with cyber-security of networking systems, big data analysis,
and cyber physical systems. More specifically, the focus of her research is to develop models, theories, and data-driven optimization algorithms for many computationally hard problems in
Online Social Networks, Device-to-Device Networks, Internet of Things, and Smart Grids.
She has published 21 articles in various prestigious journals and conferences such as IEEE Transactions on Mobile Computing, IEEE Transactions on Smart Grids, IEEE INFOCOM,
IEEE ICDM, including one Best Paper Award at IEEE MSN 2014, and Best Paper Nominee at IEEE ICDCS 2017.
Xiang has served as a reviewer for several journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Networks Science and Engineering and Journal of Combinatorial Optimization, etc. She is a recipient of many awards, including UF Graduate School Fellowship, UF Informatics Institute Fellowship, UF Outstanding Merits Award, Travel Grant Awards at IEEE INFOCOM, IEEE ICDCS, IEEE ICDM, and IEEE INFOCOM Best-in-Section-Presentation Award.