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Associate Professor
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Details of the Faculty or Staff
Name  
SHAO Jie
Title  
  Special-term Associate Professor
Highest Education  
  Ph.D.
Subject Categories  
  Geophysics
Phone  
  -
Zip Code  
  100029
Fax  
  -
Email  
  shaojie@mail.iggcas.ac.cn
Office  
  No.19 Beitucheng West Road, Chaoyang District, Beijing, 100029, China

Education and Appointments:
  • 2022.12 - present, Institute of Geology and Geophysics, Chinese Academy of Sciences, Associate Professor
  • 2019.9 - 2022.12, Institute of Geology and Geophysics, Chinese Academy of Sciences, Postdoc
  • 2016.9 - 2019.6, Institute of Geology and Geophysics, Chinese Academy of Sciences, Ph.D.
  • 2013.9 - 2016.6, China University of Petroleum (East China), M.Sc.2009.9 - 2013.6, China University of Petroleum (East China), B.Sc.

Research Interests:
  1. Seismic data processing for geophysical exploration
  2. Near-surface detection and monitoring using distributed fiber-optic sensing with active and passive seismic sources
Public Services:

Honors:
  1. Excellent Student Paper Award, Annual Meeting of Chinese Geoscience Union (CGU)
  2. Best Oral Presentation Award, SEG Workshop on Fiber Optics Sensing for Energy Applications


Supported Projects:
  1. General Program project funded by the National Natural Science Foundation of China (NSFC)
  2. Young Scientists Fund project funded by the NSFC
  3. Sub-project of National Key R&D Program of China

Publications:
  1. Shao, J., Wang, Y., Zhang, Y., Zhang, X., and Zhang, C. 2025. Tracking moving ships using distributed acoustic sensing data. IEEE Geoscience and Remote Sensing Letters, 22, Art no. 7502605.
  2. Shao, J., and Wang, Y. 2022. Seismic data antialiasing interpolation using sparse Radon transform and dynamic mask function. Geophysics, 87(5), V437-V449.
  3. Shao, J., Wang, Y., and Chen, L. 2022. Near-surface characterization using high-speed train seismic data recorded by a distributed acoustic sensing array. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11, Art no. 5912911.
  4. Shao, J., Wang, Y., and Chang, X. 2021. Radon domain interferometric interpolation of sparse seismic data. Geophysics, 86(5), WC89-WC104.(Geophysics期刊亮点文章)
  5. Shao, J., and Wang, Y. 2021. Simultaneous inversion of Q and reflectivity using dictionary learning. Geophysics, 86(5), R763-R776.
  6. Shao, J., Wang, Y., Yao, Y., Wu, S., Xue, Q., and Chang, X. 2019. Simultaneous denoising of multicomponent microseismic data by joint sparse representation with dictionary learning. Geophysics, 84(5), KS155-KS172.
  7. Liu Y., Shao, J.*, Liang, X., Zheng, Y., and Wang, Y. 2025. Velocity model calibration based on distributed acoustic sensing perforation data. IEEE Transactions on Geoscience and Remote Sensing, 63, 1-14, Art no. 5911314.
  8. Lu, H., Shao, J.*, and Wang, Y. 2026. Acoustic-to-seismic signal attenuation and aircraft trajectory tracking. IEEE Geoscience and Remote Sensing Letters, 23, Art no. 7501005.
  9. Ma, X., Shao, J.*, Wang, Y., et al. 2026. Elastic parameters inversion from Rayleigh and Love wave dispersion data using conditional diffusion models. IEEE Transactions on Geoscience and Remote Sensing, 64, Art no. 5903514.
  10. Lu, H., Shao, J.*, Xue, Q., and Wang, Y. 2026. A wavefield separation method using single-station six-component seismic measurements. Geophysical Journal International, 246(1), 1-24.
  11. Dai, R., Shao, J.*, Zhang, D., Ji, H., and Zeng Y. 2024. Artificial intelligence method for automatic classification of vibration signals in the mining process. Applied Geophysics, 21(4), 1-11.
  12. Shao, J., Wang, Y., Zhang, C., Zhang, X., and Zhang, Y. 2023. Near-surface structure investigation using ambient noise in the water environment recorded by fiber-optic distributed acoustic sensing. Remote Sensing, 15, 3329.
  13. Shao, J., Wang, Y., Wang, Y., and Yan, H. 2022. High-resolution seismic characterization of gas hydrate reservoir using wave-equation-based inversion. Energies, 15(20), 7652.
  14. Shao, J., Wang, Y., Zheng, Y., Yao, Y., Wu, S., Yang, Z., and Xue, Q. 2022. Near-surface characterization using urban traffic noise recorded by fiber-optic distributed acoustic sensing. Frontiers in Earth Science, 10, 943424.
 
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