Department of Electrical Engineering and Computer Science
Office: CST 3-127
Dr. Yingbin Liang received the Ph.D. degree in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2005. In 2005-2007, she was working as a postdoctoral research associate at Princeton University. In 2008-2009, she was an assistant professor at the Department of Electrical Engineering at the University of Hawaii. Since December 2009, she has been a faculty member at the Department of Electrical Engineering and Computer Science at the Syracuse University. Dr. Liang's research interests include machine learning, statistical learning theory, high dimensional data analysis, parallel and distributed optimization, information theory, and wireless networks.
My research focuses on: (1) developing innovative statistical machine learning tools for analyzing high dimensional data and designing efficient decision making algorithms; (2)developing parallel and distributed optimization algorithms for machine learning applications that involve ultra-high dimensional data and understanding the performance guarantee of these algorithms; and (3) developing physical layer innovations for enhancing reliability and security for wireless communications and analyzing the impact of these technologies on the fundamental performance limits of wireless networks.Some specific topics are: Robust PCA, high dimensional inference, multitask learning, parallel and distributed optimization, nonparametric detection, information theoretic security, information security over mobile ad hoc networks, network information theory, state-dependent networks, analysis of Poisson channels, relay and user-cooperative networks, and multiple-input multiple-output (MIMO) wireless communications.