ML & AI for seismic imaging & velocity modeling - part 1
Tracks
Geophysics
| Tuesday, June 9, 2026 |
| 8:30 AM - 11:30 AM |
| Room 3 |
Speaker
Dr Shijun Cheng
Research Scientist
King Abdullah University Of Science And Technology
Neural representation-based waveform inversion: a realistic case study
8:30 AM - 8:50 AM
Mrs Linrong Wang
Southwest Petroleum University
Learned Regularizations for Multiresolution Hash Encoding-based Implicit Full Waveform Inversion Using Diffusion Models
8:50 AM - 9:10 AM
Mr Pratyay Roy
PhD Student
University of Edinburgh
Escaping Geological Generative Prior Distributions in Bayesian Travel Time Tomography
9:10 AM - 9:30 AM
Dr Shijun Cheng
Research Scientist
King Abdullah University Of Science And Technology
Latent space optimization in neural operator-based waveform inversion
9:30 AM - 9:50 AM
Ms Jiameng Du
Harbin Institute Of Technology
Multi-parameter EFWI regularized by conditional normalizing flows
10:10 AM - 10:30 AM
Dr Omar M. Saad
Research Scientist
Self-Supervised Deep Learning Framework for Cycle-Skipping Mitigation in Full-Waveform Inversion
10:30 AM - 10:50 AM
Dr Wanqing Jia
Tsinghua University
Position-based point-spread-function representation network for migration image deconvolution with regularised inversion
10:50 AM - 11:10 AM
Haoran Yuan
Zhejiang University
Long-range Underwater Target Localization via Seismic-Style DCT-Domain Deep Learning
11:10 AM - 11:30 AM
