Research
Drawing on his deep understanding of fluid physics and advanced data-driven methods, Dr. Li is keenly interested in developing novel numerical simulations, uncertainty quantification, and optimization design methodologies. His goal is to advance the next generation of power and energy systems. His current research topics, which are continuously expanding, include:
• Computational Fluid Dynamics
• Data-driven/Physics-guided Machine Learning
• Uncertainty Quantification
• Optimization Design
• Compressors and Turbines