Recommended expert

Chenchen Chu

Patent Engineer (European patent attorney candidate)

Chenchen Chu
Duisburg, Germany

Experience

Feb 2025 - Jul 2025
6 months
Düsseldorf, 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 years
Kaiserslautern, 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 months
Lyon, 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 months
Xi'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.

Skills

  • Computational Programming: Python (Pytorch, Jax, Autodiff), Matlab, Fortran
  • Fem/cae Tools: Ansys, Ls-dyna, Abaqus, Fenics, Cast3m
  • Generative Design & Optimization: Topology Optimization (Mma/simp), Vae Parametrization, Adjoint Methods
  • High-performance Computing: Linux, Gpu Acceleration, Jax
  • Devops & Tools: Git, Docker

Languages

Chinese
Native
English
Advanced
German
Elementary
French
Elementary

Education

Oct 2018 - Mar 2022

INSA de Lyon

Ph.D. in General Mechanics · General Mechanics · Lyon, France

Sep 2015 - Jul 2018

Xidian University

M.Sc. in Mechatronic Systems Engineering · Mechatronic Systems Engineering · Xi'An, China

Sep 2011 - Jun 2015

Xidian University

B.Sc. in Mechatronic Systems Engineering · Mechatronic Systems Engineering · Xi'An, China

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