Shaowen Wang

King Abdullah University of Science and Technology

Thuwal, Saudi Arabia

shaowen.wang@kaust.edu.sa

I am a postdoctoral researcher at the King Abdullah University of Science and Technology (KAUST), working on computational seismology and machine learning for the wave equation.

My research develops differentiable wave-physics solvers and implicit neural representations (INRs) for full-waveform inversion (FWI) and seismic imaging. I am the author of SWEEP, a unified framework for differentiable wave simulation, and I work on multiresolution hash-encoded implicit FWI and neural reparameterization.

I am also interested in deep learning for seismic data processing — denoising, deblending, and the attenuation of multiples and shear-wave leakage in ocean-bottom-node (OBN) data — as well as efficient forward modeling, absorbing boundaries, GPU acceleration, and high-performance computing (HPC) for large-scale seismic problems.

Feel free to reach out by email, or find my code on GitHub and my papers on Google Scholar.

selected publications

Implicit Full Waveform Inversion Imaging

Shaowen Wang and Tariq Alkhalifah

Geophysical Journal International, 2026

DOI Bib

@article{wang2026ifwiimaging,
  title = {{Implicit Full Waveform Inversion Imaging}},
  author = {Wang, Shaowen and Alkhalifah, Tariq},
  journal = {Geophysical Journal International},
  year = {2026},
  doi = {10.1093/gji/ggag277}
}

SWEEP (Seismic Wave Equation Exploration Platform): A Unified Solver Framework for Differentiable Wave Physics

Shaowen Wang and Tariq Alkhalifah

arXiv preprint, 2026

arXiv Bib

@article{wang2026sweep,
  title = {{SWEEP (Seismic Wave Equation Exploration Platform): A Unified Solver Framework for Differentiable Wave Physics}},
  author = {Wang, Shaowen and Alkhalifah, Tariq},
  journal = {arXiv preprint},
  year = {2026},
}

Multiresolution Hash Encoding for High Resolution Implicit Full Waveform Inversion

Shaowen Wang, Matteo Ravasi, and Tariq Alkhalifah

In 86th EAGE Annual Conference & Exhibition, 2025

DOI Bib

@inproceedings{wang2025mrhash,
  title = {{Multiresolution Hash Encoding for High Resolution Implicit Full Waveform Inversion}},
  author = {Wang, Shaowen and Ravasi, Matteo and Alkhalifah, Tariq},
  booktitle = {86th EAGE Annual Conference & Exhibition},
  year = {2025},
  doi = {10.3997/2214-4609.202510109}
}

Memory Optimization in RNN-based Full Waveform Inversion using Boundary Saving Wavefield Reconstruction

Shaowen Wang, Y. Jiang, P. Song, and 3 more authors

IEEE Transactions on Geoscience and Remote Sensing, 2023

DOI Bib

@article{wang2023memory,
  title = {{Memory Optimization in RNN-based Full Waveform Inversion using Boundary Saving Wavefield Reconstruction}},
  author = {Wang, Shaowen and Jiang, Y. and Song, P. and Tan, J. and Liu, Z. and He, B.},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2023},
  doi = {10.1109/TGRS.2023.3317529}
}

Deep Learning-based Attenuation for Shear-wave Leakage from Ocean-bottom Node Data

Shaowen Wang, P. Song, J. Tan, and 4 more authors

Geophysics, 2023

DOI Bib

@article{wang2023shearwave,
  title = {{Deep Learning-based Attenuation for Shear-wave Leakage from Ocean-bottom Node Data}},
  author = {Wang, Shaowen and Song, P. and Tan, J. and He, B. and Xia, D. and Wang, Q. and Du, G.},
  journal = {Geophysics},
  year = {2023},
  doi = {10.1190/geo2022-0252.1}
}

Attention-based Neural Network for Erratic Noise Attenuation from Seismic Data with a Shuffled Noise Training Data Generation Strategy

Shaowen Wang, P. Song, J. Tan, and 3 more authors

IEEE Transactions on Geoscience and Remote Sensing, 2022

DOI Bib

@article{wang2022attention,
  title = {{Attention-based Neural Network for Erratic Noise Attenuation from Seismic Data with a Shuffled Noise Training Data Generation Strategy}},
  author = {Wang, Shaowen and Song, P. and Tan, J. and He, B. and Wang, Q. and Du, G.},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2022},
  doi = {10.1109/TGRS.2022.3197929}
}