Venture - Undergraduate Research Database

Earthquake identification and location

We aim at accurately and efficiently identifying and locating earthquakes using machine learning and big seismic data. Our goal is to better characterize earthquake spatial distribution and better predict future earthquake locations.

Our data science and computational seismology lab (chenseismolab.org) is looking for enthusiastic undergraduate students to assist in projects on identifying and locating shallow earthquakes less than 30 km deep, which pose the biggest seismic hazard to our society. These projects will be focusing on using machine learning and big seismic data to distinguish earthquakes from other seismic events including explosions, landslides, and volcanic activities. The other important aspect of the projects is to precisely locate shallow earthquakes to better delineate 3-D subsurface fault zone geometries to predict future earthquake locations. At the end of these projects, students will be able to program in Python, R, and Fortran, to perform data analysis aided by machine learning and computational modeling, to create powerful scientific images through data visualization tools, and to communicate more effectively through both oral presentations and writing. Please contact Dr. Min Chen (chenmi22@msu.edu) for more information.

Qualifications

Calculus I and II, and some basic programing skills in Python or R would be desired.

For More information: chenseismolab.org/

Project Coordinator

Min Chen ( chenmi22 )
5174320610
Posted: 18-12-25
Category:
Compensation:
Start Date: 18-12-25
End Date: 19-05-12

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