{"id":2558,"date":"2024-10-22T12:45:25","date_gmt":"2024-10-22T10:45:25","guid":{"rendered":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/?p=2558"},"modified":"2024-10-22T14:33:22","modified_gmt":"2024-10-22T12:33:22","slug":"s-mostafa-mousavi-deep-learning-of-seismograms","status":"publish","type":"post","link":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/s-mostafa-mousavi-deep-learning-of-seismograms\/","title":{"rendered":"S. Mostafa Mousavi – Deep Learning of Seismograms"},"content":{"rendered":"

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S. Mostafa Mousavi<\/span><\/p>\n

October 4, 2023, at 4 PM<\/span><\/p>\n

Online (Zoom)<\/span><\/p>\n

 <\/p>\n

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Abstract<\/strong><\/h3>\n

<\/strong><\/p>\n

Seismology is the study of seismic waves to understand the sources of those waves \u2013 such as earthquakes, explosions, volcanic eruptions, glaciers, landslides, ocean waves,\u00a0 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\u2019s physical processes.<\/span><\/p>\n

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Dr. S. Mostafa Mousavi
<\/strong>(Google, Stanford University)
<\/strong><\/h3>\n

Mostafa Mousavi is a research scientist at Google\u00a0and an Adjunct Professor at Stanford University.\u00a0His research focuses on extracting insights about Earth and its physical processes from weak seismic signals through innovative methodological solutions.<\/p>\n

He is interested in pattern recognition in large sensor datasets and data-driven scientific discovery in earthquake seismology. He develops domain-aware algorithms, incorporating state-of-the-art techniques from signal processing, artificial intelligence, and statistics to extract scientifically valuable information from large-scale seismic datasets. His goal is to reach a deeper understanding of the information carried out by high-dimensional seismic data and use them to characterize source\/path\/site effects and understand the dynamics of the seismicity at local and regional scales. He received his Ph.D. from the University of Memphis in 2017 and was a postdoctoral fellowship at Stanford University from 2017 to 2019.<\/p>\n

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Other distinguished lectures
<\/span><\/h2>\n

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S. Mostafa Mousavi October 4, 2023, at 4 PM Online (Zoom)  Abstract Seismology is the study of seismic waves to understand the sources of those waves \u2013 such as earthquakes, explosions, volcanic eruptions, glaciers, landslides, ocean waves,\u00a0 thunderstorms, etc.- and to infer the structure and properties of planetary interiors. The availability of large-scale labeled datasets… Lire la suite S. Mostafa Mousavi – Deep Learning of Seismograms<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":1264,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[53,1,65],"tags":[],"class_list":["post-2558","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-53","category-diip","category-distinguished-lectures"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/2558","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=2558"}],"version-history":[{"count":15,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/2558\/revisions"}],"predecessor-version":[{"id":2596,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/2558\/revisions\/2596"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/1264"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=2558"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=2558"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=2558"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}