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Qilian Liang is a Professor at the Department of Electrical Engineering, University of Texas at Arlington. He received the B.S. degree from Wuhan University in 1993, M.S. degree from Beijing University of Posts and Telecommunications in 1996, and Ph.D degree from University of Southern California (USC) in May 2000, all in Electrical Engineering. Prior to joining the faculty of the University of Texas at Arlington in August 2002, he was a Member of Technical Staff in Hughes Network Systems Inc at San Diego, California. His research interests include radar sensor networks, wireless sensor networks, wireless communications, compressive sensing, smart grid, signal processing for communications, fuzzy logic systems and applications, etc. Dr. Liang has published more than 240 journal and conference papers, 7 book chapters, and has 6 U.S. patents pending. He received 2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award, 2003 U.S. Office of Naval Research (ONR) Young Investigator Award, 2005 UTA College of Engineering Outstanding Young Faculty Award, 2007, 2009, 2010 U.S. Air Force Summer Faculty Fellowship Program Award, 2012 UTA College of Engineering Excellence in Research Award, and 2013 UTA Outstanding Research Achievement Award.




  • 2000 - PhD in Electrical Engineering, University of Southern California
  • 1996 - MS in Electrical Engineering, Beijing University of Posts and Telecommunications
  • 1993 - BS in Electrical Engineering, Wuhan University

Link to Research Profile
Phone: (817) 272-1339
liang@uta.edu

Collections in this community

Recent Submissions

  • A Ternary Pulse Compression Code: Design and Application to Radar System 

    Liang, Qilian; Xu, Lei (IEEE Xplore, 2010-03)
    In this paper, we present new developed ternary code – punctured binary sequence-pair, give its definitions and the autocorrelation properties. We also investigate Doppler shift performance of the proposed code. The ...
  • Radar Sensor Network Using A Set of New Ternary Codes: Theory and Application 

    Liang, Qilian; Xu, Lei (IEEE XploreUniversity of Texas at Arlington, Department of Electrical Engineering, 2010-09-23)
    In the radar sensor network (RSN), the interferences among different radar sensors can be effectively reduced when waveforms are properly designed. In this paper, we perform some theoretical studies on coexistence of ...