薛玲

Personal Information

Personal Information

  • Name (Simplified Chinese):

    薛玲
  • Name (Pinyin):

    XL
  • School/Department:

    数学科学学院
  • Gender:

    Female
  • Professional Title:

    Professor
  • Status:

    Employed
  • Supervisor of Doctorate Candidates
  • Supervisor of Master's Candidates
  • Teacher College:

    College of Mathematical Sciences
  • Discipline:

    Mathematics

Other Contact Information

    OfficePhone:

    Telephone:

    Email:

    PostalAddress:

Personal Profile

  • Professor, College of Mathematical Mathematics, Harbin Engineering University, China. 2016-present

  • Research fellow, Pacific  Institute of Mathematical Sciences & Department of Mathematics, University of Manitoba, Canada. 2017-2018

  • Postdoctoral fellow, Department of Mathematics, Center for Computational Sciences, Tulane University, U.S.A. 2014-2016

  • Ph.D, Kansas State University, U.S.A. 2013


Educational Experience

  • 2008.1 to 2013.12

    美国堪萨斯州立大学 | 电子与计算机工程 | With Certificate of Graduation for Doctorate Study

Work Experience

  • 2017.7 to 2022.3

    哈尔滨工程大学 | 教授

  • 2017.1 to 2018.1

    加拿大曼尼托巴大学

  • 2014.1 to 2016.6

    美国杜兰大学

Research Focus

  • No content

  • Social Affiliations

    • Editorial member of PloS Computational Biology

    • Editorial member of Bulletin of Mathematical Biology

    • 2023.1 to 2025.1

      中国数学会生物数学专业委员会委员

    Team Members

    [1] Name of Research Group:mathematical biology

    Description of Research Group:

    The Mathematical Biology Research Team at Harbin Engineering University focuses on cutting-edge issues in life and health, leveraging interdisciplinary approaches in mathematical modeling, computational science, and data science. The team conducts frontier research in areas such as bio-mathematics, complex network dynamics, and multi-scale system modeling, including infectious disease transmission prediction, mathematical methods for precision medicine, and ecosystem stability analysis. It is committed to advancing the deep integration of mathematical theory with life sciences, medicine, and ecology. Emphasizing interdisciplinary innovation, the team cultivates high-level talents with expertise in mathematics, computation, and biomedical sciences. Through international collaboration and industry-academia partnerships, it provides decision-making support in public health. In recent years, the team has published a series of high-impact journal papers, actively undertaken national research projects, and established collaborations with leading universities and research institutions worldwide.