报告人：王彦飞 研究员 中国科学院地质与地球物理研究所
报告时间：2024年1月23日14:00-14:45
报告地点：上海财经大学红瓦楼826
报告摘要：In the field of geophysics, big data, AI, and inverse problems involve cross-disciplinary integration of computer science, mathematics, statistics, and geophysics. This approach enables the development of accurate subsurface property models by analyzing vast amounts of geophysical data. Traditionally, various geophysical methods were used to study geological anomalies, but the use of big data and AI has shown potential to enhance this process. This talk will introduce both model-driven and data-driven inverse problems and explain how optimizing algorithms are used to solve for physical properties of the earth's subsurface from geophysical data collected at the surface.
报告人简介：王彦飞，研究员，杰青，从事反问题基本理论及方法、反问题的数学优化算法、计算及勘探地球物理、地学大数据与人工智能分析研究工作。主持国家重点研发计划、基金重大计划项目、中科院重要方向项目多项，发表论文150余篇，出版学术论著6部，授权发明专利30项。现任中国科学院油气资源研究重点实验室主任、地球科学大数据与人工智能中心主任、大数据分析与人工智能地球物理学科组组长，入选国家高层次人才计划，中国运筹学会常务理事。获中国青年科技奖、国务院政府特殊津贴专家等多项荣誉。
报告邀请人：刘可伋教授