Peyman Givi (Persian: پیمان گیوی) is a Persian-American rocket scientist and engineer.
Givi currently serves as a Distinguished Professor of Mechanical Engineering and Materials Science and the James T. McLeod Professor at the University of Pittsburgh, and previously was Distinguished Professor of Aerospace Engineering at State University of New York.
His research interests include thermal-fluid sciences, numerical methods, applied mathematics, random data analysis, stochastic processes, and quantum computing.[4]
Born in Iran, Givi now lives in Pittsburgh. He received his bachelor's degree in mechanical engineering from the Youngstown State University in 1980 and his master's and Ph.D. in mechanical engineering from Carnegie Mellon University in 1982 and 1984, respectively. His dissertation was “Turbulent Reacting Flows (Probability Density, Mixing Layers, Jets, Plug Flow Reactors, Monte Carlo Method).”[5][6]
Prior to joining the University of Pittsburgh in 2002, he held the rank of University Distinguished Professor in Aerospace Engineering at the State University of New York at Buffalo,[7][8][9] where he received the Professor of the Year Award by Tau Beta Pi (2002).[10]
Research
Givi was first to demonstrate that the filtered density function is a tool for accurate prediction of turbulent combustion.[11][12][13][14][non-primary source needed]
In 2024, Givi presented the AIAA Dryden Lectureship in Research at the AIAA SciTech Forum. His lecture was “The Promise of Quantum Computing for Aerospace Science and Engineering.”[17]
He was also invited to deliver the 13th Elsevier Distinguished Lecture in Mechanics in 2021[18] and the 11th Pratt & Whitney Distinguished Lecture in 2021.[19]
^Jaberi, F. A.; Colucci, P. J.; James, S.; Givi, P.; Pope, S. B. (December 1999). "Filtered mass density function for large-eddy simulation of turbulent reacting flows". Journal of Fluid Mechanics. 401 (1): 85–121. Bibcode:1999JFM...401...85J. doi:10.1017/S0022112099006643. ISSN1469-7645.
