Jing Guo

Guangdong University of Technology | Assistant Professor | jingguo@gdut.edu.cn

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School of Mathematics and Statistics

Guangdong University of Technology

Guangzhou, Guangdong 510006, China

Biography

I am an Assistant Professor in the School of Mathematics and Statistics at Guangdong University of Technology.

My research lies at the intersection of numerical analysis and scientific computing, with a focus on developing efficient algorithms for challenging mathematical problems.

Research Interests

  • Constrained optimization
  • Variable step approximation of convolution quadrature
  • Saddle point problems
  • Numerical inversion of Laplace transform

Academic Position

  • Assistant Professor — Guangdong University of Technology (2025 - Present)
  • Research Assistant — University of Macau (July 2025 - November 2025)
    Supervisor: Prof. Li Luo
  • Postdoctoral Researcher — The Chinese University of Hong Kong, Shenzhen (Aug 2023 - May 2025)
    Supervisor: Prof. Dong Wang, Prof. Jingrun Chen

Education

  • Ph.D. in Mathematics — Hunan Normal University (2020 - 2023)
    Advisor: Prof. Qing Pan
    • CSC-sponsored Joint Ph.D. Student — University of Malaga, Spain (Nov 2021 - Nov 2022)
      Co-advisor: Prof. Maria Lopez-Fernandez
  • M.S. in Computational Mathematics — Hunan Normal University (2017 - 2020)
    Advisor: Prof. Da Xu
  • B.S. in Applied Mathematics — Hunan First Normal University (2012 - 2016)

Selected Research Papers

  1. Efficient and stable diffusion generated methods for ground state computation in Bose–Einstein condensates
    Jing Guo, Yongyong Cai, and Dong Wang
    Journal of Scientific Computing, 2026
  2. Computing optimal partition problems via Lagrange multiplier approach
    Qing Cheng, Jing Guo, and Dong Wang
    Journal of Scientific Computing, 2025
  3. Generalized convolution quadrature for non-smooth sectorial problems
    Jing Guo and Maria Lopez-Fernandez
    Calcolo, 2025
  4. Runge–Kutta generalized convolution quadrature for sectorial problems
    Jing Guo and Maria Lopez-Fernandez
    arXiv preprint, 2025