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Matthew Zahr

Headshot of Matthew Zahr
Program Years:
2011–2015
University:
Stanford University
Field of Study:
Computational and Mathematical Engineering
Advisor:
Charbel Farhat
Degree(s):
Ph.D. Computational and Mathematical Engineering, Stanford University, 2016
M.S. Computational and Mathematical Engineering, Stanford University, 2013
B.S. Civil Engineering, University of California, Berkeley, 2011

Practicum Experience(s)

Lawrence Berkeley National Laboratory (2012)

Practicum Supervisor(s):
Per-Olof
Persson
Practicum Title:
Time Integration and Nonlinear Solvers for the Speedup of the Discontinuous Galerkin Finite Element Method

Current Status

Research Area:
Computational and Mathematical Engineering
Personal URL:
https://mjzahr.github.io

Annual Program Review Abstracts

High-order, Time-dependent PDE-constrained Optimization Using Discontinuous Galerkin Methods (2015)
Progressive Construction of a Parametric Reduced-order Model for PDE-constrained Optimization (2014)
Rapid Topology Optimization using Path-Dependent Reduced-Order Models (2013)
Design Optimization of Fluid Mechanical Systems using Reduced Order Models (2012)