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Mousavi was honored with the Charles F. Richter Early Employment




Photo: Syed Mustafa Mousavi. Show more

Credit: Syed Mustafa Mousavi

Syed Mustafa Mousavi was honored with the Charles F. Richter’s early career of the American Seismological Association (SSA) in 2021 for his innovative work developing machine learning-based methodologies for processing seismic signals.

Mousavi, a Google research scientist and assistant professor at Stanford University, will receive the Richter Prize at the 2022 SSA Annual Meeting.

Mousavi has done pioneering work in the emerging field of machine learning applications in seismology. He developed algorithms to solve many challenging seismic search problems, including classification of earthquake source depth, seismic signal detection, positioning, magnitude estimation, event differentiation, and choice of seismic wave arrival time.

His colleagues particularly noted his 2020 publication of Earthquake Transformer, an advanced deep-learning model for simultaneous earthquake detection and stage selection, including an open-source software package, which has already been downloaded by researchers in more than 50 countries.

Mousavi is also known for developing multiple methods of “noise reduction” or separating the earthquake signal from “noise” in seismographs. Its techniques have been used in seismic data from seabed cables, to improve Nuclear Test Ban Treaty monitoring and seismic monitoring in dense urban environments, among other applications.

Richter, who bears the same name for the award, “would smile and amazed, if he were here, at the level at which Dr. Mousavi took the initial network data and turned it into detailed maps of thousands of earthquake sites that clearly identify fault planes.” Charles Langston, who nominated Mousavi for the award.

“This is clearly the future of retinal seismology, with Dr. Mousavi at the forefront,” Langston added.

Mousavi has published 20 peer-reviewed papers as the first author or sole author in various journals and on a wide range of topics including seismic and hazard risk assessment, cortical and upper cover attenuation estimation, statistical analyzes of spatial and temporal patterns of earthquakes, in addition to the works mentioned above.

Mousavi said, “I am honored and honored to receive this award and join the previous winners that I have admired and respected for a long time. I also thank the award committee and those who nominated me.”

Mousavi obtained a Bachelor of Science in 2006. In civil engineering, and a master’s degree in 2010. He holds a PhD in Risk Engineering from the University of Tehran. He received his PhD in Geophysics in 2017 from the University of Memphis. He was a postdoctoral researcher at Stanford University from 2017 to 2019.

The Charles F. Richter’s early careers for notable contributions to SSA goals by a member early in his career. Candidates must have obtained their most recent academic degrees no more than six years before April 18 of the year in which they were chosen or selected for the award.


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