Papers (google scholar)

1. Nguyen, H.V., et al. "TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems." Under Review at Computer Methods in Applied Mechanics and Engineering (2025)
2. Nguyen, H.V., et al. "A model-constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization." Computer Methods in Applied Mechanics and Engineering (2025)
3. Nguyen, H.V., et al. "Dual implicit neural representations for FWI with salt" Geophysics 5th IMAGE (2025)
4. Nguyen, H.V., et al. "JAX acceleration of Implicit FWI and field data application." Geophysics 4th IMAGE (2024)
5. Nguyen, H.V., et al. "TNet: A Model-Constrained Deep Learning Approaches for Inverse Problems." SIAM Journal of Scientific Computing (2024)
6. Philley, R.S., Nguyen, H.V., et al. "Model-Constrained Empirical Bayesian Neural Networks for Inverse Problems." XLIV Ibero-Latin American Congress on Computational Methods in Engineering (2023)
7. Wittmer, J., Nguyen, H.V., et al. "On Unifying Randomized Methods for Inverse Problems." Inverse Problems (2023)
8. Nguyen, H.V., et al. "A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems." International Journal of Computational Fluid Dynamics (2022)
9. Nguyen, H.V., et al. "A Data-Informed Active Subspace Regularization Framework for Inverse Problems." Computation (2022)
10. Nguyen, H.V., et al. "Large Displacement Elastic Analysis of Planar Steel Frames with Flexible Beam-to-Column Connections under Static Loads by Corotational Beam-Column Element." Journal of Science and Technology in Civil Engineering (2019)
11. Nguyen, H.V., et al. "Large Displacement Elastic Static Analysis of Semi-rigid Planar Steel Frames by Corotational Euler--Bernoulli Finite Element." Journal of Science and Technology in Civil Engineering (2019)

Conferences

1. Invited talk SIAM Conference on Computational Science and Engineering, USA, 2025
2. Invited talk + Poster presentation + Symposium organizer SIAM Conference on Mathematics of Data Science, USA, 2024
3. Invited talk + Poster presentation SciML Workshop on Scientific Machine Learning, USA, 2024
4. Invited talk + Symposium organizer 17th U.S. National Congress on Computational Mechanics, USA, 2023
5. Invited talk Seminar at Department of Mathematics - Kansas State University, USA, 2023
6. Invited talks + Poster presentation + Symposium organizer SIAM Texas-Louisiana Section, USA, 2022
7. Invited talk SIAM Conference on Mathematics of Data Science, USA, 2022
8. Invited talk Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling, USA, 2022
9. Invited talk SIAM Conference on Uncertainty Quantification, USA, 2022