Chao Jiang | Turbulence Modeling | Best Researcher Award

Dr. Chao Jiang’s research focuses on the integration of fluid mechanics, aerodynamics, and machine learning to advance scientific understanding and engineering applications. His work in turbulence modeling leverages data-driven approaches to develop more accurate closure models for complex fluid flow simulations. He is also pioneering physics-inspired machine learning, creating neural networks with symmetry neurons to improve computational modeling and solve multi-scale problems. Dr. Jiang’s exploration of aerodynamic bionics and flow control is transforming the way bio-inspired designs are applied to improve efficiency in aerodynamics. His research bridges traditional engineering with cutting-edge AI to redefine how we approach scientific computation.