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    中文
    Lin Zhou

    Supervisor of Doctorate Candidates:
    Supervisor of Master's Candidates:


    Gender:Male
    Date of Birth:1992-06-12
    Alma Mater:National University of Singapore
    Degree:工學博士學位
    School/Department:School of Cyber Science and Technology
    Discipline:Cyberspace Security
    Business Address:Room 507, No.1 Building, Beihang University (Haidian)
    E-Mail:

    Honors and Titles:

    2019   "Zhuobai" project Associate Professor

    2018   ISIT student travel grant

    2017   ISIT student travel grant

    2016   ISIT student travel grant

    2014   NUS Research Scholarship

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    Profile:

    Lin Zhou is currently an Associate Professor in the School of Cyber Science and Technology at the Beihang University, Beijing, China. Prior to this, he was a Research Fellow in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. From Mar. 2018 to Dec. 2018, he was first a Research Engineer and then a Research Fellow in the Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS). He received the Ph.D.\ degree in ECE from NUS in 2018 and the B.E.\ degree in Information Engineering from Shanghai Jiao Tong University (SJTU) in 2014. His research interests include information theory, statistical inference, physical layer security, space-air-ground integrated communications and their applications. 

    Education Background:

    • 2010.9 -- 2014.6

      Shanghai Jiao Tong University       Information Engineering       B.Eng.

    • 2014.8 -- 2018.8

      National University of Singapore       Electrical and Computer Engineering       Ph.D.      Study under the supervisor of Prof. Vincent Yan Fu Tan and Prof. Mehul Motani on finite blocklength information theory.

    Work Experience

    • 2018.3 -- 2019.1

      National University of Singapore      Electrical and Computer Engineering      Research engineer/research fellow      From Mar. to Aug.in 2018, as a research engineer and from Sept. 2018 to Jan. 2019, as a research fellow

    • 2019.1 -- 2020.8

      University of Michigan, Ann Arbor      EECS      Research fellow      Worked on applications of information theory on statistical signal processing and machine learning problems.

    Research Focus

    • Information theory, physical layer security, space-air-ground integrated communication networks, statistical inference and their applications
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