报告地点：教学行政楼706会议室
报告时间：2019-05-20 从 10:30 到 11:00
报告人：李泽峰
报告人简介：
李泽峰，2012年于中国科学技术大学本科毕业，2017年在美国佐治亚理工学院获得博士学位， 现在在美国加州理工学院地震学实验室从事博士后研究。研究兴趣包括机器学习的地震学应用，密集台网和分布式光纤传感，微震检测，地震早期预警，断层结构，地壳各向异性等等。至今在GRL, EPSL, JGL, GJI, SRL等国际地学期刊发表论文十余篇，兼任SRL Associate Editor，SRL机器学习专辑Guest Editor。
报告题目：Machine learning in earthquake seismology: The scope and examples
报告内容简介
Over the last few years, there has been rapid growth in research activity on ML applications in seismology, thanks to the increasing size of seismic data, enhancement in computational power, and the availability of easy‐to‐use ML frameworks. The contributions can be generally grouped in three categories: engineering automation, modeling/inversion, scientific discovery. In this talk, I will go through our recent studies that happen to fall into each of these categories: 1) Automatic earthquake/noise discrimination in earthquake early warning; 2) Modeling of realistic high-frequency ground motions in hazard mitigation; 3) Discovery of rupture complexity patterns of global moderate-large earthquakes. These examples hopefully give the audience a sense of how to steer the power of ML tools in seismological research.