Furkan Oz
Postdoctoral Research Associate - Computational Fluid Dynamics
Bio
Dr. Furkan Oz is a Postdoctoral Research Associate in Computational Fluid Dynamics (CFD) within the Thermal Hydraulics Group. He received his Ph.D. (2024) from the School of Mechanical and Aerospace Engineering at Oklahoma State University (OSU). Prior to attending OSU, he earned his B.Sc. from the Department of Aeronautical Engineering at Istanbul Technical University. His Ph.D. research focused on hypersonic boundary layer transition, atmospheric entry vehicle dynamics, machine learning, and reduced-order modelling. He developed several finite volume-based CFD solver, quantum CFD solver, machine learning models. During his Ph.D., he interned at NASA Ames Research Center where he developed his stochastic parameter estimation framework for the atmospheric entry vehicle dynamic stability. Throughout his Ph.D., his research has been funded by NASA and NSF, and he has collaborated with several institutions, including NASA, University of Tennessee at Knoxville, University of Maryland, and Purdue University.
His research interests include CFD code development for high-performance computing, RANS, LES, machine learning, and quantum computing. At ORNL, he is supporting to advanced CFD tools and technologies through developing the VERTEX-CFD platform.