Jing Sun
Affiliation. Delft University of Technology, Netherlands

Office 6.E.100, Building 28
Van Mourik Broekmanweg 6
2628 XE Delft
The Netherlands
I am an Assistant Professor in the Department of Intelligent Systems (INSY) at the Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS).
My research focuses on developing machine and deep learning techniques to tackle climate challenges and address geophysical problems, especially by informing physics or domain knowledge to improve the AI model’s reliability and interpretability.
My work spans a broad spectrum of geophysical aspects, such as seismic, magnetic, and electromagnetic techniques, which are crucial for understanding the Earth’s subsurface structures and physical properties. I also work on utilizing satellite-based observations to understand the Earth’s surface, atmosphere, and oceans.
News
Jun 29, 2024 | GET2024 abstract submitted |
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Selected publications
- GPAttenuation of marine seismic interference noise employing a customized U-NetGeophysical Prospecting, 2020
- GeophysicsA convolutional neural network approach to deblending seismic dataGeophysics, 2020
- GeophysicsDeep learning-based shot-domain seismic deblendingGeophysics, 2022
- GPImproving signal fidelity for deep learning-based seismic interference noise attenuationGeophysical Prospecting, 2022
- GeophysicsDeep neural network-based workflow for attenuating seismic interference noise and its application to marine towed-streamer data from the northern Viking GrabenGeophysics, 2023
- SubmittedWhat Can Generative Modelling Do for Interpolation of Extremely Sparse Wind Farm Seismic Data?In EAGE GET2024 - Global Energy Transition Conference & Exhibition , 2024