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