Luotao Zhang (张泺陶)

PhD Students

PhD Student

Current

Contact Information:

luotao.zhang@kaust.edu.sa

Biography

I am a Ph.D. student in the Earth Science and Engineering program at KAUST, where I work under the supervision of Prof. Tariq Alkhalifah. My research combines deep learning with geophysical inversion, with a focus on implicit full waveform inversion and other approaches based on implicit neural representations.

Research Interests

Full waveform inversion; Implicit neural representations; Deep learning for geophysical inverse problems

Selected Publications

  1. Luotao Zhang, Xiaobo Zhang, Shuo Han, et al. Enhancing Frequency Response in Implicit Full Waveform Inversion via Fourier Encoding[J]. IEEE Transactions on Geoscience and Remote Sensing, 2026, 64: 1-21.

  2. Luotao Zhang, Chunqing Ran, Xiaobo Zhang, et al. MB-UDF: A self-supervised model for continuous representation of seafloor topography using multibeam echo sounder data[J]. International Journal of Applied Earth Observation and Geoinformation, 2026, 146: 105056.

  3. Chunqing Ran, Luotao Zhang, Shuo Han, et al. Three-dimensional reconstruction of shallow seabed topographic surface based on fusion of side-scan sonar and echo sounding data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2025, 228: 249-269.

Education

Ph.D. in Earth Science and Engineering, KAUST (2026–present)

M.Eng. in Electronic Information, Shandong University of Science and Technology, China (2023–2026)

B.Eng. in Intelligence Science and Technology, Shandong University of Science and Technology, China (2019–2023)

Awards

Outstanding Graduate Student 2026 (Shandong University of Science and Technology, China)

KAUST Affiliations

Earth Science and Engineering (ErSE), Division of PSE

Seismic Wave Analysis Group (SWAG)

DeepWave Consortium

Research Interests Keywords

FWI Deep Learning Inverse problems Implicit Neural Representations