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Dr. Ferrante became Assistant Professor of Aeronautics & Astronautics at the University of Washington in Summer 2009. In 2004, he received the PhD in Mechanical and Aerospace Engineering from the University of California, Irvine, where he continued his research as Postdoctoral Scholar until 2007. From 2007 to 2009, he was Postdoctoral Scholar in Aeronautics at the California Institute of Technology (GALCIT).

His PhD research, which was funded by the Office of Naval Research (ONR), explained the physical mechanisms of drag reduction by the injection of microbubbles in the turbulent boundary layer over flat surfaces (J. Fluid Mech. 2004). In 2004, he performed Direct Numerical Simulation (DNS) of both single-phase and bubble-laden spatially-developing turbulent boundary layers at the highest Reynolds number ever published (J. Fluid Mech. 2005). His computer visualizations of the spatio-temporal development of coherent structures in a turbulent boundary layer received the Award as Best Video of the Gallery of Fluid Motion (2003) from the American Physical Society, Division of Fluid Dynamics. His postdoctoral research at Caltech, which was funded by the Air Force Office of Scientific Research (AFOSR), was focused on dispersion and mixing of jets in turbulent, supersonic cross-flows for high-speed propulsion applications. The results of his research have been presented in over fifty conferences, contractor meetings, and invited talks in U.S., Europe and Asia. His scientific papers are published in premiere refereed journals such as J. of Fluid Mechanics, Physics of Fluids, and J. of Computational Physics.

Dr. Ferrante's research and teaching interests are in the area of Computational Fluid Mechanics (CFM). His research is mainly focused on single-phase, multi-phase, and multi-species turbulent flows relevant to engineering applications, e.g., internal and external aerodynamics, propulsion, and to natural phenomena. His research group develops numerical methods and algorithms for high-performance computing (HPC) to perform state of the art Direct Numerical Simulations (DNS) and Large Eddy Simulations (LES) of turbulent flows.

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