PNNL

The HydroML Symposium will explore how emerging artificial intelligence (AI) and machine learning (ML) concepts and capabilities, including data-driven ML, physics-informed ML, the application of large language models (LLMs), and generative AI, can be used to enhance the predictive understanding of hydrological processes and their interactions with broader Earth systems.

Registration is now open! Additional details are available on the symposium website.

Organizers

Co-Chairs

Xingyuan Chen, Chaopeng Shen

Organizing Committee Members

Andrew Bennett, Tirthankar Chakraborty, Yunxiang Chen, Zhuoran Duan, Dipankar Dwivedi, Uwe Ehret, Kathryn Lawson, Galen Gorski, Hoshin Gupta, Peishi Jiang, Hernan Moreno, Leila Hernandez Rodriguez, Tirthankar Roy, Yuan-Heng Wang, Yang Yang