Han Gao

About

Han Gao is an Assistant Professor at Iowa State University, USA. His research focuses on advanced methodologies in computational mechanics and complex systems, particularly in the areas of generative learning for partial differential equations (PDEs), Bayesian methods, and machine learning applications. Recent publications include topics such as physics-informed neural networks and model reduction techniques for high-dimensional dynamical systems.