Ryan Wu

Ryan Wu is a researcher specializing in machine learning and its applications in environmental modeling and energy systems. His work bridges artificial intelligence with practical challenges in coastal oceans, sediment transport, wind-speed forecasting, and electrical load prediction.

• Research Focus: Machine learning for environmental and energy applications
• Key Contributions: Physics-informed models, robust regression techniques, temporal LASSO regression, and novel optimization algorithms

Recent Publications: Focused on computational intelligence for sediment concentration forecasting, wind-speed prediction, and electric load optimization. Subfields span predictive analytics, time series analysis, and environmental engineering.