Xiao Ma (马啸)

PhD Students

PhD Student



B#1/L#3 – 3203-WS14

Contact Information:



I am a PhD student in KAUST in the Physical Science and Engineering Division, my major is earth science and engineering. Now I'm focusing mainly on research about micro-seismic and Deep Learning.

Research Interests

Seismic data denoising; Seismic fault detection; Micro-seismic; Deep learning

Selected Publications

  1. MA Xiao, YAO Gang, ZHANG Feng, WU Di. 2023. Fault detection method based on pixel difference network. Chinese Journal of Geophysics (in Chinese), 66(4): 1649-1663, doi: 10.6038/cjg2022Q0452
  2. Ma X, Yao G, Zhang F, et al. 3D Seismic Fault Detection Using Recurrent Convolutional Neural Networks With Compound Loss[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023.
  3. Ma X, Yao G, Yuan S, et al. Seismic Coherent Noise Removal with Residual Network and Synthetic Seismic Simples[J]. arXiv preprint arXiv:2305.09136, 2023.
  4. Han, Y.; Wu, B.; Yao, G.; Ma, X.; Wu, D. Eliminate Time Dispersion of Seismic Wavefield Simulation with Semi-Supervised Deep Learning. Energies 2022, 15, 7701. https://doi.org/10.3390/en15207701


2016.09-2020.07 Chengdu University of Technology, Bachelor

2020.09-2023.07 China University of Petroleum(Beijing), Master

2023.09-   KAUST, Ph.D

KAUST Affiliations

SWAG, ErSE, Department of PSE, KAUST

Research Interests Keywords

Deep learning Microseismic Seismic fault detection Seismic data denoising