Lianghao Cao
Scholar

Lianghao Cao

Google Scholar ID: EIkw7EEAAAAJ
Postdoctoral Scholar Research Associate, California Institute of Technology
Uncertainty quantificationPredictive modelingPDE-constrained optimization
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Citations & Impact
All-time
Citations
173
 
H-index
6
 
i10-index
5
 
Publications
12
 
Co-authors
14
list available
Contact
Emaillianghao@caltech.eduCVOpen ↗LinkedInOpen ↗
Publications
3 items
Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws
2026
Cited
0
Derivative-Informed Fourier Neural Operator: Universal Approximation and Applications to PDE-Constrained Optimization
2025
Cited
0
Learning Memory and Material Dependent Constitutive Laws
2025
Cited
0
Resume (English only)
Background
  • Researcher in computational science, engineering, and mathematics
  • Focuses on understanding, enhancing, and controlling the quality, validity, and reliability of simulation-based predictions of complex physical systems
  • Works on uncertainty quantification and optimization problems associated with parametric partial differential equations
  • Has extensive experience in computational polymer science applications
  • Currently researching data-driven constitutive modeling for multiscale inelastic materials
Co-authors
14 total
Omar Ghattas
Omar Ghattas
Professor & Cockrell endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at Austin
Co-author 2
Co-author 2
Thomas O'Leary-Roseberry
Thomas O'Leary-Roseberry
Assistant Professor, Department of Mathematics, The Ohio State University
Prashant K. Jha
Prashant K. Jha
Assistant Professor, Mechanical Engineering, South Dakota School of Mines and Technology, Rapid City
Youssef Marzouk
Youssef Marzouk
Professor, Massachusetts Institute of Technology
Co-author 6
Co-author 6
Ricardo Baptista
Ricardo Baptista
University of Toronto
Peng Chen
Peng Chen
Georgia Institute of Technology