Professor
  • Mao Zijun

  • Professor
  • Phone:15871410683
  • E-mail:maozijun@hust.edu.cn
  • Academic Areas:Digital Government, non-traditional security
  • Research Interests: Data Element Security

Academic Degrees

l PhD, 2010, School of Artificial Intelligence and Automation (Institute of Systems Engineering), Huazhong University of Science and Technology, Wuhan, China

l Bachelor, 2004, School of Artificial Intelligence and Automation (Institute of Systems Engineering), Huazhong University of Science and Technology, Wuhan, China


Professional Experience

lProfessor (2020.11-present); College of Public Administration, Huazhong University of Science and Technology

l Associate Professor (2014.11-2020.10); College of Public Administration, Huazhong University of Science and Technology

l Lecturer (2013.06-2014.10); College of Public Administration, Huazhong University of Science and Technology

l Post Doctorate (2010.07-2013.06); College of Public Administration, Huazhong University of Science and Technology


Selected Publications

lMao Z, Yao H, Zou Q, Zhang W, Dong Y. Digital Contact Tracing Based on a Graph Database Algorithm for Emergency Management During the COVID-19 Epidemic: Case Study[J]. JMIR Mhealth Uhealth, 2021,9(1):e26836.IF=4.773, SCI Q1, rank11/102, ESI

l Yang Y, Deng W, Zhang Y, Mao Z. Promoting Public Engagement during the COVID-19 Crisis: How Effective Is the Wuhan Local Governments Information Release?[J]. International journal of environmental research and public health, 2021, 18(1): 118.IF=2.849, SSCI Q1, rank: 32/171, SCI, ESI

l Liu C, Ouyang M, Wang N, Mao Z, Xu X. A Heuristic Method to Identify Optimum Seismic Retrofit Strategies for Critical Infrastructure Systems[J]. Computer-aided Civil and Infrastructure Engineering, 2021,36(8): 996-1012. (IF=11.775SCI Q1, rank: 1/136, ESI


Awards

l “The Most Excellent Teacher”, China Association for Promoting Democracy(Hubei), 2021

l “The Ten Best proposal”, China Association for Promoting Democracy(Hubei), 2021



Courses Taught

l Special topics on non-traditional security frontiers

l Internet and Contemporary Social Security


Project

l National Social Science Fund of China: in publicity 2021, Research on risk identification and assessment of data element flow from the perspective of political security

l National Social Science Fund of China: 18BZZ091, Research on artificial intelligence risk identification and assessment from the perspective of political security, 2019/10-2020/10

lNational Natural Science Foundation of China: 71734002, Research on risk identification and prevention mechanism of non-traditional security issues -- information sharing and use in smart city governance (Subproject 1: "Analysis on the components and root causes of non-traditional security issues in information sharing and use in smart city governance"), 2018-2022


RESOURCES

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