Research interests

Computational mechanics,
Reduced order modeling and scientific data-driven techniques,
Multi-scale modeling of materials and manufacturing processes, including welding and additive manufacturing (AM),
AM-oriented topology optimization for integrated materials and process design,
Digital image correlation techniques.

Education

  • Postdoc, Computational Mechanics — Northwestern University (2022)
  • Postdoc, Computational Mechanics — CEA Cadarache (2019)
  • Ph D, Mechanical Engineering — INSA Lyon (2017)
  • MS, Mechanical Engineering — INSA Lyon (2014)
  • BS, Aircraft Manufacturing Engineering — Northwestern Polytechnical University (2012)

Publications

  • An Enhanced Incremental Harmonic Balance Method to Improve the Computational Efficiency and Convergence for Systems with non-polynomial Nonlinearities 2024 Nonlinear Dynamics · pp. 30 pages Yilin Li, Jianliang Huang, Weidong Zhu

Presentations

  • Extended Tensor Decomposition Model Reduction Method: Application to Additive Manufacturing Residual Stress Predictions and Uncertainty Quantification 2024 ASME IMECE 2024 · Oral Presentation
  • Convolution Isogeometric Analysis 2024 The 12th International Conference on IsoGeometric Analysis (IGA 2024) · Oral Presentation
  • Extended tensor decomposition model reduction method: application to real-time additive manufacturing residual stress predictions and inverse problems 2024 Model Reduction and Surrogate Modeling (MORe) 2024 · Oral Presentation

Grants and Contracts

  • CDS&E: Scalable space-time model reduction for efficient extreme-scale phase field simulations of microstructure evolution in 3D printed metals 2025 NSF · Grant · Not Funded Ye Lu (Principal), Bedrich Sousedik (Co-Principal)
  • CDS&E: AI-assisted Reduced Order Computational Framework for High-Throughput and Accurate Digital Image Correlation 2025 NSF · Grant · Not Funded Ye Lu (Principal), Weidong Zhu (Co-Principal)
  • Physics-constrained machine learning-enabled efficient grain growth modeling for 3D printed metals COEIT · Grant Ye Lu, Houbing Song
  • Space-time tensor decomposition based high-performance computing framework for Cahn-Hillard type problems NSF · Grant · Not Funded