[S21] AI for Earthquake Science | The 2026 SSJ Fall Meeting

Session Details

Room DSpecial session : S21. AI for Earthquake Science

[S21]AI for Earthquake Science

Wed. Nov 4, 2026 9:30 AM - 11:00 AM JST
Wed. Nov 4, 2026 12:30 AM - 2:00 AM UTC

Room D (9F)

chairperson: Ryoichiro AGATA (Japan Agency for Marine-Earth Science and Technology (JAMSTEC)), Naofumi Aso (Tokyo University of Science)

9:30 AM - 9:45 AM JST(12:30 AM - 12:45 AM UTC)

[S21-01]Classification of seismic signals with variational auto-encoder

*Yukio Hiranaka¹ (1. Hiranaka Technology Research)

9:45 AM - 10:00 AM JST(12:45 AM - 1:00 AM UTC)

[S21-02]Conditional Generative Phase Picking for Marine Seismic Surveys

*Jun Su¹, Ryoichiro Agata¹, Gou Fujie¹, Dan Bassett², Ayako Nakanishi¹, Shuichi Kodaira¹ (1. JAMSTEC, 2. Earth Sciences New Zealand)

10:00 AM - 10:15 AM JST(1:00 AM - 1:15 AM UTC)

[S21-03]ARGUS: 10-ms End-to-End Deep Learning for Source Characterization and Its Synthetic-to-Field Transfer Limits

*Isao Kurosawa¹ (1. ENEOS Xplora Inc.)

10:15 AM - 10:30 AM JST(1:15 AM - 1:30 AM UTC)

[S21-04]Earthquake, landslide, and flood susceptibility for Kumamoto Prefecture using a three-layer graph network

*Sreenath Vemula^1,2, Hiroe Miyake^1,2 (1. Interfaculty Initiative in Information Studies, The University of Tokyo, 2. Earthquake Research Institute, The University of Tokyo)

10:30 AM - 10:45 AM JST(1:30 AM - 1:45 AM UTC)

[S21-05]Recurrent-Neural-Network-Based Estimation of Time-Dependent b-Values

*Naofumi Aso¹ (1. Tokyo University of Science)

10:45 AM - 11:00 AM JST(1:45 AM - 2:00 AM UTC)

[S21-06]Physics-Guided Unsupervised Neural Network for Simultaneous Estimation of Moment Tensors and Station-Dependent Site Corrections

*Kazutoshi IMANISHI¹, Kodai Sagae¹ (1. Geological Survey of Japan, AIST)

Back to Category List