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Curriculum vitae of Shaowen Wang.
Contact Information
| Name | Shaowen Wang |
| Professional Title | Postdoctoral Fellow |
| shaowen.wang@kaust.edu.sa |
Professional Summary
Postdoctoral Fellow at KAUST working on computational seismology and machine learning for the wave equation — differentiable wave-physics solvers, implicit neural representations for full-waveform inversion and seismic imaging, deep learning for seismic data processing, and high-performance computing.
Experience
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2024 - Present Thuwal, Saudi Arabia
Postdoctoral Fellow
King Abdullah University of Science and Technology (KAUST)
Physical Science and Engineering Division.
- Differentiable wave-physics solvers and implicit neural representations (INRs) for full-waveform inversion (FWI) and seismic imaging.
- Author of SWEEP, a unified framework for differentiable wave simulation.
- Deep-learning methods for seismic data processing and GPU/high-performance computing.
Education
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2020 - 2024 Qingdao, China
Ph.D.
Ocean University of China
Marine Geophysics
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2018 - 2020 Qingdao, China
M.Sc.
Ocean University of China
Geo-detection and Information Technology
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2014 - 2018 Qingdao, China
B.Sc.
Shandong University of Science and Technology
Prospecting Technology and Engineering
Publications
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2026 Implicit Full Waveform Inversion Imaging
Geophysical Journal International
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2025 Multiresolution Hash Encoding for High Resolution Implicit Full Waveform Inversion
86th EAGE Annual Conference & Exhibition
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2023 Memory Optimization in RNN-based Full Waveform Inversion using Boundary Saving Wavefield Reconstruction
IEEE Transactions on Geoscience and Remote Sensing
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2022 Attention-based Neural Network for Erratic Noise Attenuation from Seismic Data
IEEE Transactions on Geoscience and Remote Sensing
Academic Interests
Computational Seismology: Full-waveform inversion, reverse-time migration, differentiable wave-physics solvers, seismic imaging
Machine Learning for Geophysics: Implicit neural representations, neural reparameterization, deep learning for seismic data processing, diffusion models
High-Performance Computing: GPU acceleration, CUDA, multi-GPU and distributed inversion
Skills
Programming: Python, PyTorch, CUDA, C/C++
Geophysics: FWI, RTM, LSRTM, wave-equation modeling, OBN and marine data processing
Languages
Chinese : Native speaker
English : Fluent