Shuai Li

I am a researcher specializing in aeroacoustics, data-driven turbulence modeling, and machine-learning-assisted optimization with a focus on enabling low-noise and environmentally sustainable aviation systems. Over the past years, I have established a research profile at the interface of aeroacoustics, aerodynamics, and data-driven design. My work includes fundamental studies of noise generation mechanisms, the development of noise-reduction technologies, and, more recently, the application of multi-fidelity and machine-learning methods for aerodynamic optimization and turbulence modeling. My research has been funded by two Horizon Europe projects and multiple national projects.