Andrew D. Davis of the Department of Aeronautics and Astronautics Engineering was selected as the recipient of the third SMA Graduate Fellowship in Computational Engineering. Andrew is interested in parameter inversion and uncertainty quantification for large scale optimization problems, with specific applications to glaciology. Easy access to model derivatives are computed via adjoint models and the use of automatic differentiation have lead to computational and mathematical techniques enabling in depth analysis of ice sheet simulations, including sensitivity analysis, parameter optimization, and model comparison. Using collected data as prior information, he can quantify model uncertainty, ideally determining what additional information is needed to accurately model the observed physics.
Advisors: Patrick Heimbach; Youssef Marzouk.
Masayuki Yano of the Department of Aeronautics and Astronautics Engineering was selected as the recipient of the second SMA Graduate Fellowship in Computational Engineering. The goal of Masa’s research is to develop a fully automated adaptive framework for solving partial differential equations. The framework aims to free scientists and engineers from the task of handling numerical issues, minimize the computational time to achieve a desired accuracy, and improve the reliability and robustness of complex simulations. His approach utilizes a continuous relaxation of the discrete mesh to optimize the approximation space and produces meshes which minimize error in quantities of interest at a prescribed computational cost.
Advisor: D Darmofal.
Rory Clune of the Department of Civil and Environmental Engineering was selected as the recipient of the first SMA Graduate Fellowship in Computational Engineering. Rory is a graduate student in the Department of Civil and Environmental Engineering. His PhD research will focus on the development of new computational design tools for large-scale building structures, bridging the existing gap between the fields of engineering and architecture.
Advisor: JJ Connor.