Chenchen C.
Patent Engineer, Phd in Topology optimziation
Experience
Feb 2025 - Jul 2025
6 monthsDüsseldorf, Germany
Patent Engineer (European patent attorney candidate)
Vossius & Partner
- Patent application: European patent drafting and prosecution
- LLM practicing: Developed LLM-based tools for automated patent data retrieval, applying Python scripting to accelerate technical reviews.
May 2022 - Apr 2024
2 yearsKaiserslautern, Germany
Scientific Researcher
Fraunhofer ITWM
- Generative design: Applied topology optimization and machine learning for multi-material meta-materials with tailored thermal and mechanical properties.
- VAE-driven implicit geometry parametrization: Developed variational auto-encoders to compress high-dimensional design spaces (geometry represented by signed distance field), enabling efficient generative exploration of meta-material architectures.
- Computational pipeline with JAX: Built GPU-accelerated multi-scale optimization workflows using JAX autodiff and adjoint methods, reducing simulation time by 40% for aerospace components.
Oct 2018 - Mar 2022
3 years 6 monthsLyon, France
Doctoral Researcher
CNRS-LaMCoS
- Multiphysics FEM simulations: Conducted advanced finite element analysis for solid mechanics and thermal effects using FEniCS and Cast3M, incorporating high-order homogenization for composite materials.
- Topology optimization & robust optimization: Implemented topology optimization under uncertainties, leveraging surrogate models and probabilistic methods for robust structural performance.
Sep 2015 - Jul 2018
2 years 11 monthsXi'An, China
Master Student/ Researcher
Xidian University
- FEM analysis & material modeling: Performed static/dynamic simulations of composite structures in ANSYS and LS-DYNA, with Fortran UMAT for visco-plastic damage models.
- Computational validation: Supported satellite arm design through CAE-integrated analysis, focusing on lightweight optimization.
Summary
PhD in Mechanics and Materials Optimization with expertise in FEA/FEM, AI-driven material/structure simulation and optimization, and scalable CAE workflows. Proven ability to accelerate physics-based simulations by integrating hybrid techniques (model reduction, ML, etc) into HPC.
Languages
Chinese
NativeEnglish
AdvancedGerman
ElementaryFrench
ElementaryEducation
Oct 2018 - Mar 2022
INSA de Lyon
Ph.D. · General Mechanics · Lyon, France
Sep 2015 - Jul 2018
Xidian University
M.Sc. · Mechatronic Systems Engineering · Xi'An, China
Sep 2011 - Jun 2015
Xidian University
B.Sc. · Mechatronic Systems Engineering · Xi'An, China
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