Bio
Dr. Furkan Oz is an R&D Associate in Computational Fluid Dynamics (CFD) in the Multiphysics CFD Applications Group. He earned his Ph.D. in 2024 from the School of Mechanical and Aerospace Engineering at Oklahoma State University (OSU) and his B.Sc. in Aeronautical Engineering from Istanbul Technical University.
His doctoral research focused on hypersonic flows, atmospheric entry vehicle dynamics, quantum computing, and machine learning. He developed multiple finite-volume–based CFD solvers, a quantum CFD solver, and machine-learning models for high-fidelity flow prediction. During his Ph.D., he interned at NASA Ames Research Center, where he developed a stochastic parameter-estimation framework for atmospheric entry vehicle dynamic stability.
His research has been funded by NASA and the National Science Foundation (NSF), and he has collaborated with several institutions, including NASA, the University of Tennessee, Knoxville, the University of Maryland, and Purdue University.
At Oak Ridge National Laboratory (ORNL), he contributes to the development of advanced CFD tools and multiphysics technologies, including the VERTEX-CFD platform and the NEAMS Workbench. He also developed mixed-order models for fusion device first wall thermal analysis.
His research interests include high-performance computing, RANS and LES turbulence modeling, machine learning, and quantum computing.