Speaker: Dr. Jonghyun Harry Lee
Abstract:
Machine learning (ML) has become an important component of data science and can be applied to improving water resources engineering within diverse geoscience communities. In this presentation, I will briefly show an overview of the recent progress in ML within the context of geoscience application and how ML methods can be combined and augmented with physics information to produce better performances and interpretability. The improvement and performance of these methodologies will be illustrated in subsurface, riverine, and coastal applications.
Link to presentation: https://docs.google.com/presentation/d/15k7HxWsBqRw9qxRDz5wvkQF61zyL1_MG2vkSIPQ-XJ8/edit?usp=sharing