Xuyang Li

PhD Student
GitHub
Google Scholar
Email
lixuyan1obfuscate@msu.edu

Hello! I am a Ph.D. student in the Civil & Environmental Engineering Department at Michigan State University studying under the supervision of Dr. Nizar Lajnef and Dr. Vishnu Boddeti. I received my bachelor’s degree from Wuhan University of Technology in Civil Engineering and a master’s degree from Michigan State University in Civil Engineering.

My research focuses on Structural Health Monitoring and Physics Informed Deep Learning.

Papers

UNED: One-shot Uncertainty-aware Neural Experimental Design for Transient PDEs

Neural-VSI: Variational System Identification of Structural Parameter Fields in High-Order PDEs

Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements

ParaFIND: Parameter Field Inference on Non-Uniform Domains using Neural Network

Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage

Estimating field parameters in multiphysics governing equations from scarce observations

Physics Informed Neural Network for Dynamic Stress Prediction

Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components

NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems

Deep learning paradigm for prediction of stress distribution in damaged structural components with stress concentrations

Methods For The Rapid Detection Of Boundary Condition Variations in Structural Systems

Bridging Finite Element and Deep Learning: High-Resolution Stress Distribution Prediction in Structural Components