Mathematics · Optimization · Scientific Computing

Wang
Jiajun.

Master's student in Mathematics and Applications at Université Paris-Saclay, interested in turning mathematical structure into reliable computational methods.

01 / About

Mathematical ideas,
made computational.

My work sits at the intersection of numerical analysis, partial differential equations, and optimization. I am especially interested in methods that are theoretically sound, computationally efficient, and useful for real physical systems.

I currently study shape optimization for Stokes flow at the Laboratoire des Sciences du Numérique de Nantes (LS2N, CNRS), using finite element methods to minimize hydrodynamic resistance. Previously, I worked on robust signal estimation, low-rank modeling, and parameter identification.

Partial differential equations Shape optimization Finite element methods Convex optimization Inverse problems High-performance computing

02 / Publications

Selected writing

Full curriculum vitae
  1. Asian Journal of Control2026

    Three-Variable Symmetric Alternating Direction Method of Multipliers for Non-Separable Convex Optimization

    P. Xie, J. Chen, L. Cheng, J. Wang

    DOI: 10.1002/asjc.70174
  2. Signal Processing · Vol. 2472026

    Alternating Direction Method of Multipliers for Direction of Arrival Estimation Under Mixed Noise

    P. Xie, J. Chen, J. Wang, Y. Mao, G. Zhu, Y. Yi

    DOI: 10.1016/j.sigpro.2026.110648
  3. Circuits, Systems, and Signal Processing · Vol. 432024

    The Application of the Accelerated Proximal Gradient Descent Algorithm for the Solution of the Weighted Schatten-p Norm in Sparse Noise Extraction

    J. Wang, J. Chen, Q. Zhu

    DOI: 10.1007/s00034-024-02697-z
  4. Manuscript under review · Systems & Control Letters2026

    Spectral Partitioning for Hierarchical Identification of Ill-Conditioned Systems: A Power-Iteration-Based Approach

    J. Chen, J. Wang, M. Gan, H. Xu, J. Na

  5. 35th Chinese Control and Decision Conference2023

    Parameter Identification of First-Order RC Equivalent Circuit Model Based on Improved Fractional-Order Gradient Descent

    J. Wang, L. Cheng, J. Chen · pp. 293–298

03 / Education & tools

Background

2024 — 2026

Université Paris-Saclay

Master in Mathematics and Applications
Analysis, Modeling, Simulation

2020 — 2024

Jiangnan University

BSc in Information and Computational Science
Ranked 8 / 96

Toolbox

  • MATLAB
  • Python
  • C / C++
  • Finite elements
  • CPU / GPU computing
  • Web development

04 / Contact

Let’s discuss mathematics,
research, or music.

jiajun.wang621@gmail.com