Lina Ren (任丽娜)

PhD Students

PhD Student

Visiting

Contact Information:

lina.ren@kaust.edu.sa

Biography

Lina is a PhD candidate in China University of Petroleum – East China, under the supervision of Prof. Qizhen Du. She is currently a visiting PhD student in SWAG (from Sep. 2025). Her research interests include seismic imaging, full waveform inversion imaging and deep learning applications in geophysics.

Research Interests

Seismic imaging, Full waveform inversion imaging, Deep learning applications in geophysics

Selected Publications

Lina Ren, Qizhen Du, Wenhao Lv, Lei Pu, and Li‐Yun Fu. qS‐wave decoupling equation for wavefield separation in transversely isotropic media. Geophysical Prospecting 2024, 72: 2214–2226. DOI: 10.1111/1365-2478.13509.

L. Ren, Q. Du, S. Zhang, and L. Fu. Vector-Based Elastic Reverse Time Migration Using S-wave Source. In 85th EAGE Annual Conference & Exhibition (including the Workshop 2024. DOI:10.3997/2214-4609.2024101121 Programme), vol. 2024, no. 1, pp. 1-5. European Association of Geoscientists & Engineers.

Lina Ren, et al. "Decoupling-Equation-Based Elastic Reverse Time Migration Using S-wave Source." IEEE Transactions on Geoscience and Remote Sensing (2024).

L. Ren, Q. Du, W. Lv, W. Wu and T. Jan Moser, "Vector Decoupling-Based Elastic Reverse Time Migration for OBN Data in VTI Media," in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-10, 2025, Art no. 5921410, doi: 10.1109/TGRS.2025.3606152.

Education

  • Sep. 2017 – Jun. 2021 | Qufu Normal University, Mathematics and Applied Mathematics, B.S 

  • Sep. 2021 – Jun. 2022 | China University of Petroleum (East China), Computational Mathematics, M.S

  • Sep. 2022 – Present | China University of Petroleum (East China), Geological Resources and Geological Engineering, Ph.D

Professional Profile

Scientific and Professional Membership

 

Awards

  • CGU: The Best Student Paper Award. The method for establishing qS-wave decoupling equations in transversely isotropic media. 2023.

  • Lina Ren, Wiley China Excellent Author Program, as whose outstanding Contribution in Open Science, January-March 2024

KAUST Affiliations

 

Research Interests Keywords

Deep Learning