Hieu was a postdoc in the group between 2020 and 2022. He is now working at ASML in Veldhoven, Netherlands.
I was a postdoc at the SADA group until 2022.
Before coming to Basel, I did my Ph.D. at the Oden Institute, the University of Texas at Austin, with Prof. Richard Tsai. Currently, I am obsessed with scientific machine learning for wave-based inverse problems. The research concerns how machine learning contributes to exploratory sciences where well-established models exist.
Some examples include inverse spectral and travel time tomography. Seismic waves generated by Earthquakes travel through the planet. By measuring their arrival time and time frequency at a seismometer, we can infer the characteristics of the Earth's interior. The mapping from finite data space to the infinite model space is nonlinear and not unique. We are developing a new inversion framework based on novel neural networks to address the problem.
For a comprehensive CV, check out my website hieu325.github.io
I prefer contact via email at hieuhuu.nguyen at unibas.ch
Research interests
Wave-based inverse problem
Scientific machine learning
Numerical linear algebra
Publications
2023
@article{DeepVI,
title={Deep Variational Inverse Scattering},
author={AmirEhsan Khorashadizadeh and Ali Aghababaei and Tin Vlavsi\'c and Hieu Nguyen and Ivan Dokmani\'c},
journal={EUCAP},
year={2023},
projectpage = {http://sada.dmi.unibas.ch/en/research/injective-flows},
volume={abs/2212.04309},
eprint={2212.04309},
archivePrefix={arXiv}
}2020
@article{nguyen2020stable,
title={A stable parareal-like method for the second order wave equation},
author={Nguyen, Hieu and Tsai, Richard},
journal={Journal of Computational Physics},
volume={405},
pages={109156},
year={2020},
publisher={Elsevier}
}