Urban Seismology and AI-Enabled Seismic Phase Analysis

Prof.  Ping Tong

Nanyang Technological University

2026.10.30（星期五）15:00，理科二号楼 2821

摘要：

    Advances in geophysical imaging and artificial intelligence (AI) are opening new opportunities for subsurface characterization and earthquake studies. In this talk, I will present two research directions. First, I will discuss the growing demand for urban seismology in Singapore, including fault mapping, seismicity monitoring, geothermal exploration, ground vibration assessment, and cavity detection. We have developed a suite of geophysical imaging methods based on adjoint-state inversion, integrating seismic, electrical, gravity, magnetic, and electromagnetic observations to improve subsurface characterization and address these challenges. Second, I will introduce AI-enabled identification of later seismic phases and construction of large-scale phase databases, particularly for sP and PmP waves. Using deep-learning models trained on expert-labeled datasets, we have substantially expanded the available observations of later seismic phases for earthquake location and crustal imaging. Applications in California demonstrate improved earthquake focal-depth determination and high-resolution imaging of Moho topography and lower-crustal structures.

报告人简介：

   Ping Tong is an Associate Professor in the School of Physical and Mathematical Sciences at Nanyang Technological University (NTU), Programme Director of the MSc in Modelling and Simulation, and a Principal Investigator at the Earth Observatory of Singapore. His research focuses on developing mathematical theories, advanced computational methods, and AI-enabled technologies for geophysical imaging and inversion, with applications spanning deep Earth structure and dynamics, earthquake studies, energy and resource exploration, and geotechnical engineering. He has published over 90 research papers in scientific journals, including Nature Geoscience, Proceedings of the National Academy of Sciences (PNAS), Earth and Planetary Science Letters, Geophysical Research Letters, and Journal of Geophysical Research: Solid Earth.