Jun Ma

PhD Candidate in Computational Mathematics
Université de Technologie de Compiègne (UTC), LMAC Laboratory

Research focus: Topology Optimization • PDE Analysis • AI for Thermal Energy Systems

🏆 Recent Achievement: Best Paper Award at ACCM-2023 (6th Australasian Congress on Computational Mechanics)
Jun Ma

About Me

I am a doctoral researcher at Université de Technologie de Compiègne (UTC), LMAC Laboratory. My research integrates topology optimization and PDE analysis with AI-driven modeling for thermal energy systems, including phase change materials (PCM) and Kapitza interface laws.

Previously, I obtained my Master's degree in Computational Mathematics from Northwestern Polytechnical University (Double First-Class/985 University), under the supervision of Academician Weihong Zhang and Prof. Piotr Breitkopf. I received my Bachelor's degree in Mathematics and Applied Mathematics from the same institution.

Research Interests

Topology/Shape Optimization PDEs & Bifurcations Thermal Energy Storage (PCM) Physics-Informed Neural Networks Reduced Order Modeling Computational Mechanics

Selected Publications

Research Projects

🔬 Dynamic Multi-Fidelity Reduction Theory and Methods for Large-Scale Structural Dynamics Topology Optimization
National Natural Science Foundation of China (NSFC) • Grant No. 12272302 • Jan 2023 - Dec 2026
Developing advanced reduced-order modeling techniques coupled with topology optimization for large-scale transient dynamic problems. Focuses on primal-dual POD methods and adaptive model updating strategies.
🌐 Models, Theory and Methods for Scientific Computing
High-end Foreign Expert Introduction Program, Ministry of Science and Technology • Grant No. G2021183022L • Jan 2021 - Dec 2022
International collaboration project focusing on advanced computational methods and theoretical foundations for scientific computing applications.
⚡ Large-Scale Stress-Constrained Topology Optimization Based on Reduced-Order Models
Natural Science Basic Research Program of Shaanxi Province • Grant No. 2021JM-043 • Jan 2021 - Dec 2022
Developing multi-fidelity dynamic reduced-order modeling strategies for stress-constrained topology optimization problems with millions of degrees of freedom.
🚀 Integrated Design Methods for Functionally Graded Sandwich Structures for Lightweight Thermal Protection
National Natural Science Foundation of China (NSFC) • Grant No. 11972166 • Jan 2019 - Dec 2022
Research on integrated design methodologies for functionally graded sandwich structures with applications in aerospace thermal protection systems.

Honors & Awards

🏆
2023
Best Paper Award, ACCM-2023 (6th Australasian Congress on Computational Mechanics)
🎓
2024
Outstanding Graduate, Northwestern Polytechnical University (Master's)
💰
2021-2023
First-Class & Second-Class Graduate Scholarships, NPU
🎓
2021
Outstanding Graduate, Northwestern Polytechnical University (Bachelor's)
🥈
2021
Second Prize, National Finals of Chinese Mathematics Competitions for College Students
🥇
2020
Meritorious Winner (First Prize), Mathematical Contest in Modeling (MCM), USA
🥇
2019
First Prize, National Mathematical Modeling Competition (Shaanxi Province)
🥉
2021
Third Prize, Huawei Cup Graduate Mathematical Modeling Competition

Teaching Experience

Lecturer

Xi'an International Studies University - Sino-Thai Program (256 credit hours)
Digital Economy, Statistics, Computer Design, Digital Commerce
September 2022 - June 2023

Teaching Assistant (NPU)

  • Computational Methods & Numerical Analysis (English)
    Northwestern Polytechnical University - Queen Mary University of London Joint Program
    2020, 2021, 2022, 2023
  • Mathematical Modeling (English)
    Northwestern Polytechnical University - Queen Mary University of London Joint Program
    2020, 2021, 2022, 2023
  • Computational Methods (Graduate Course)
    Northwestern Polytechnical University
    2021

Advanced Workshops & Guest Courses

Advanced Topology Optimization Series
Prof. Balaji Raghavan, Université de Rennes, France
• Nonlinear Topology Optimization (July 2021)
• Advanced Topics (July 2022)
• Geometric & Material Nonlinearity (July 2023)
• Nonlinearity & Buckling (July 2024)
Reduced-Order Modeling & Machine Learning
Prof. Piotr Breitkopf, UTC, France
• Truss & Continuum Topology Optimization (July 2022)
• Continuum & Dynamic Topology Optimization (July 2020)
• Gaussian Process Regression (July 2023)
• ML in Computational Mechanics (July 2024)
High Performance Computing & Finance
Dr. Lei Shang, Hina Group (Asia Pacific CTO)
• HPC & System Optimization (July 2021)
• Quantitative & Computational Finance (July 2021)

International Teaching Assistant Programs

Served as TA for prestigious international programs with top universities:

Brown University - Prof. Justin Holmer
Numerical Methods, Fourier Analysis, Quantitative Finance (Multiple sessions 2023-2025)
ETH Zürich - Prof. Alessandra Iozzi
Probability Theory & Statistics Applications (2024-2025)
Imperial College London - Prof. Ferruccio Renzoni
PDEs, Fourier Analysis & Lagrangian Equations (2024)
Queen Mary University of London - Prof. Pierre Clare
Statistical Applications in Biology, Medicine & Economics (2025)
University of Illinois at Urbana-Champaign - Prof. Matthew Caesar
Networking Technologies for Underserved Regions (2023)

Private Tutoring

Mathematics and Science tutoring for secondary school students (2018-2024), including exam preparation and subject advancement.

Academic Photos

Research Poster - Primal-dual On-the-fly Reduced-Order Modeling

Research poster presented at ACCM-2023

Contact Information

📧
Email majun2512@mail.nwpu.edu.cn
🏢
Laboratory UTC — LMAC, Compiègne, France
📱
Phone +86 18791196392
🔗
ORCID 0009-0003-1988-0730