Adam Rozman

I am an aerodynamics and aeroacoustics specialist focusing on the noise created by the complex fluid interactions of multirotor vehicles. I leverage multi-fidelity computational approaches with applications varying from the rapid generation of large datasets using analytical methods to high-fidelity CFD investigations of propeller physics.

My expertise includes hybrid RANS/LES turbulence modeling and transitional Reynolds number flows, supported by experience in code optimization and parallelization for high-performance computing environments. My other contributions include developing automated workflows applying design of experiments to train physics-informed machine learning surrogate models to predict the performance of arbitrary propeller geometries and optimize quadrotor control algorithms.

Currently, I am developing an analytical model for Turbulence Ingestion Noise which is a dominant noise source for next generation multirotor systems such as Advanced Air Mobility.