Machine Learning for Coastal Morphodynamics (and more)

Machine Learning (ML) is transforming how we analyze and predict coastal morphodynamics, offering new ways to model complex interactions between waves, sediment transport, and shoreline evolution. This talk will introduce the fundamentals of ML, highlighting their strengths in handling data and capturing nonlinear coastal processes. By integrating data-driven insights with established physical models, AI-driven approaches can provide a powerful tool for understanding and managing coastal environments.

This talk aims to bridge the gap between coastal scientists and ML practitioners, fostering collaboration and innovation in data-driven coastal research. Whether you are new to ML or seeking advanced applications, this discussion will offer valuable perspectives on the future of Artificial Intelligence in coastal and environmental sciences.