About Luca Galimberti Luca Galimberti Ph.D. Student, Applied Mathematics and Computational Science computational fluid dynamics aeroacoustics aerodynamics Luca Galimberti is a Ph.D. candidate in the Applied Mathematics and Computational Sciences (AMCS) at King Abdullah University of Science and Technology (KAUST), advised by Prof. Matteo Parsani, where his research focuses on the development of numerical methods for aeroacoustics and aerodynamics of aeronautical applications. Events Presented Events Nov 1 - Nov 7, 2026 Aeroacoustic Noise Prediction: From Low- to High-Fidelity Modelling Luca Galimberti, Ph.D. Student, Applied Mathematics and Computational Science Nov 5, 12:00 - 13:00 B9 R2325 aeroacoustics Computational modeling aircraft noise This talk explores the physical mechanisms of aircraft noise generation and the computational modelling strategies used to predict and understand them across different levels of fidelity.
Aeroacoustic Noise Prediction: From Low- to High-Fidelity Modelling Luca Galimberti, Ph.D. Student, Applied Mathematics and Computational Science Nov 5, 12:00 - 13:00 B9 R2325 aeroacoustics Computational modeling aircraft noise This talk explores the physical mechanisms of aircraft noise generation and the computational modelling strategies used to predict and understand them across different levels of fidelity.
Engage LinkedIn ORCID Google Scholar ShareClipboard Related Sites Applied Mathematics and Computational Science (AMCS) Advanced Algorithm and Numerical Simulations Laboratory (AANSLab) Related Content Events 1 Upcoming Events Aeroacoustic Noise Prediction: From Low- to High-Fidelity Modelling Luca Galimberti, Ph.D. Student, Applied Mathematics and Computational Science Nov 5, 12:00 - 13:00 B9 R2325 aeroacoustics Computational modeling aircraft noise
Aeroacoustic Noise Prediction: From Low- to High-Fidelity Modelling Luca Galimberti, Ph.D. Student, Applied Mathematics and Computational Science Nov 5, 12:00 - 13:00 B9 R2325 aeroacoustics Computational modeling aircraft noise
