Recent Advances in Machine Learning and Computational Methods for Geoscience

Novel computational and machine learning techniques are emerging as important research topics in many geoscience domains. In this workshop, we bring together researchers from geosciences and computational science to discuss recent advances and challenges arising from the design and application of computational techniques.

Different geoscience applications often share similar computational techniques. However, there are not many opportunities for researchers from different domains to share their experiences in designing and using computational tools and methods. Through this workshop, we intend not only to investigate those common computational methods in depth, but also to promote potential future applications.

The purpose of our workshop is to (1) demonstrate the importance of computational methods in understanding and analyzing the real problems arising in a broad array of geosciences applications, such as seismology, topography, hydrology, and remote sensing; (2) foster communication and interaction between geoscience researchers and computational scientists; and (3) identify critical research topics and potential solutions. The main research topics of our workshop will include but not be limited to statistical and machine learning techniques, inverse problems, and optimization. This workshop will also include an evening poster session.