AlirezaÌýDoostan
- Professor
- Felippa-Park Faculty Fellow
- AEROSPACE MECHANICS RESEARCH CENTER (AMREC)
Focus Area
Structural & Material Systems
Education
PhD, Structural Engineering, The Johns Hopkins University, 2006
MA, Applied Mathematics and Statistics, The Johns Hopkins University, 2006
MS, Structural Engineering, Sharif University of Technology, 2002
BS, Civil Engineering, Sharif University of Technology, 2000
Professional Experience
2021 - Present, Professor, Smead Aerospace Engineering Sciences, University of Å·ÃÀ¿Ú±¬ÊÓƵ Boulder
2011 - Present, Affiliated Faculty, Applied Mathematics, University of Å·ÃÀ¿Ú±¬ÊÓƵ Boulder
2016 - 2021, Associate Professor, Smead Aerospace Engineering Sciences, University of Å·ÃÀ¿Ú±¬ÊÓƵ Boulder
2010 - 2016, Assistant Professor, Aerospace Engineering Sciences, University of Å·ÃÀ¿Ú±¬ÊÓƵ Boulder
2009, Visiting Assistant Professor, Aerospace Engineering Sciences, University of Å·ÃÀ¿Ú±¬ÊÓƵ Boulder
2007 - 2009, Engineering Research Associate, Center for Turbulence Research, Stanford University
2007 - 2007, Postdoctoral Fellow, Center for Turbulence Research, Stanford University
Awards (selected)
H. Joseph Smead Faculty Fellow, 2018
Charles A. Hutchinson Memorial Teaching Award, College of Engineering, 2017
Rome Faculty Fellowship, College of Engineering, Å·ÃÀ¿Ú±¬ÊÓƵ Boulder, 2016-2019
Outstanding Undergraduate Teaching and Mentoring, Department of Aerospace Engineering Sciences, 2016
Dean's Outstanding Teaching Award, 2015
Å·ÃÀ¿Ú±¬ÊÓƵ Boulder Provost's Faculty Achievement Award, 2015
Outstanding Junior Faculty Award of the Aerospace Engineering Sciences Department, 2015
AIAA-Rocky Mountain Educator of the Year (College) award, 2015
NSF Early Career Research Award, 2015
DOE (ASCR) Early Career Research Award, 2011
Postdoctoral Fellowship, Center for Turbulence Research, Stanford University, 2007
Research Interests
Uncertainty quantification (UQ), computational stochastic mechanics, model reduction for stochastic systems, large-scale statistical inverse analysis, model verification and validation (V&V), estimation theory and data assimilation, structural dynamics.