The Earth Science Colloquium Series presents:
Deep Learning of Seismograms
Dr. Mostafa Mousavi, Research Scientist, Google and Adjunct Professor, Stanford University
Abstract: Seismology is the study of seismic waves to understand the sources of those waves - such as earthquakes, explosions, volcanic eruptions, glaciers, landslides, ocean waves, thunderstorms, etc.- and to infer the structure and properties of planetary interiors. The availability of large-scale labeled datasets and the suitability of deep neural networks for seismic data processing have pushed deep learning to the forefront of fundamental, long-standing research investigations in seismology. However, some aspects of applying deep-learning to seismology are likely to prove instructive for the geosciences more broadly. In my talk, I will present some of the recent progress in AI-based seismic monitoring and how they improve our understanding of Earth’s physical processes.
Host: Dr. Felix Walhauser, Lamont Research Professor, SGT.
The Earth Science Colloquium Series, sponsored by Lamont-Doherty Earth Observatory and Columbia University Department of Earth and Environmental Sciences (DEES), provides a lively forum for discussing a wide variety of topics within the Earth sciences and related fields. Colloquia are attended by the full range of scientific and technical staff at LDEO. Colloquium attendance is required of all pre-orals DEES graduate students. The Colloquium Series supports the Lamont Seminar Diversity Initiative.
