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Doostan, Alireza Associate Professor and H. Joseph Smead Faculty Fellow

Positions

Research Areas research areas

Research

research overview

  • Dr. Doostan's research is focused on assimilation and propagation of uncertainties in complex PDE-based models for the purpose of model validation and verification. Of particular interest to his work is the development of reduced order models for scalable solution of partial differential equations with random inputs. He is also involved in the development of efficient computational tools for large-scale statistical inverse problems.

keywords

  • Uncertainty Quantification, Computational Stochastic Mechanics, Computational Statistics

Publications

selected publications

Background

International Activities

global connections related to teaching and scholarly work (in recent years)

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