ML & AI for seismic imaging & velocity modeling - part 3
Tracks
Geophysics
| Wednesday, June 10, 2026 |
| 8:30 AM - 11:30 AM |
| Room 03 |
Speaker
Mr Xiao Ma
PhD Student
King Abdullah University of Science and Technology
Velocity model building with neural operators using the time-shift imaging condition
8:30 AM - 8:50 AM
Mr Yuhang Ma
Phd
China University of Petroleum (East China)
Multiscale Time-Space Separable FPINNs for High-Frequency Seismic Wave Simulation in the Time Domain
8:50 AM - 9:10 AM
Felipe Rincón
PhD candidate
University of Pisa
Accelerating wave simulations with neural dispersion correctors
9:10 AM - 9:30 AM
Mr Bo Wang
PhD Student
China University of Petroleum (Beijing)
Dispersion-Relation Guided Wavelet U-Net for High-Fidelity Seismic Wavefield Reconstruction
9:30 AM - 9:50 AM
Mr Zheheng Wang
Msc Student
Wuhan University
Shallow seismic surface-wave waveform inversion with U-net and a hybrid loss function Introduction
10:10 AM - 10:30 AM
Ms Sangin Cho
PhD Student
Inha University
Image-to-Image Reformulation of MASW Inversion Using Transfer Learning and Diffusion Models
10:30 AM - 10:50 AM
Dr Shijun Cheng
Research Scientist
King Abdullah University Of Science And Technology
Depth-progressive 3D seismic velocity model building via 2D generative diffusion models
10:50 AM - 11:10 AM
Mr Muhammad Iqbal Khatami
PhD Student
King Abdullah University Of Science And Technology
Direct time-lapse velocity change estimation using a guided diffusion model
11:10 AM - 11:30 AMChair A
Xuebin Zhao
Postdoctoral Research Fellow
University Of Edinburgh
