
University of Texas at Austin
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Robert Moser is a Professor of Mechanical Engineering in thermal fluid systems at the University of Texas at Austin's Walker Department of Mechanical Engineering within the Cockrell School of Engineering. He holds the W. A. "Tex" Moncrief, Jr. Chair in Computational Engineering and Sciences I, serves as Deputy Director of the Oden Institute for Computational Engineering and Sciences, and directs the Center for Predictive Engineering and Computational Sciences (PECOS). Moser joined the UT Austin faculty in 2005. Previously, he was a research scientist at NASA Ames Research Center and Professor of Theoretical and Applied Mechanics at the University of Illinois at Urbana-Champaign. He earned his Ph.D. in mechanical engineering from Stanford University in 1984, M.S. in 1981, and B.S. from the same institution.
Moser's research specializations encompass turbulence physics, direct numerical simulation and spectral methods, large-eddy simulation, cardiovascular fluid mechanics, and verification, validation, and uncertainty quantification in computational science. His work applies to reentry vehicles, solid propellant rockets, micro-air vehicles, turbulent combustion, tokamak fusion, plasma devices, and energy harvesting. Key publications include "Turbulence statistics in fully developed channel flow at low Reynolds number" (Journal of Fluid Mechanics, 1987), "Direct numerical simulation of turbulent channel flow up to Re=590" (Physics of Fluids, 1999), "Scaling of the energy spectra of turbulent channels" (Journal of Fluid Mechanics, 2004), "Direct simulation of a self-similar turbulent mixing layer" (Physics of Fluids, 1994), "Patient-specific isogeometric fluid-structure interaction analysis of thoracic aortic blood flow due to implantation of the Jarvik 2000 left ventricular assist device" (Computer Methods in Applied Mechanics and Engineering, 2009), and "One-point statistics for turbulent wall-bounded flows at Reynolds numbers up to δ+≈2000" (Physics of Fluids, 2013). These contributions have profoundly influenced computational modeling of turbulent flows in engineering applications.
Professional Email: rmoser@mail.utexas.edu