Shane McQuarrie was awarded the ninth BGCE Student Paper Prize for outstanding contributions of students in the field at this year’s SIAM Conference on Computational Science and Engineering. A Ph.D student at the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin, McQuarrie was among seven finalists invited to present his paper at the in-person conference in Amsterdam held Feb. 26 - Mar. 3. The contest is administered by the ENB Elite Bavarian Graduate School of Computational Engineering (BGCE).
As a student in the Computational Science, Engineering, and Mathematics (CSEM) graduate program, McQuarrie said it was exciting to make it to the final round. “The other finalists presented really excellent work, so I feel very honored to have been chosen as the winner. Even more than winning, I really enjoyed getting to know the other finalists.”
McQuarrie’s paper, “Operator inference for affine-parametric systems of partial differential equations,” develops a method for constructing reduced-order models for a large class of parametric systems using only data and the known structure of the system.
“Parametric systems show up in a wide variety of important real-world applications, from biological systems to combustion to 3D printing. In our paper we look at a model for heat diffusing through a material, in which the parameters specify the thermal conductivity of the material. Ideally, we can use the same reduced-order model for rubber and metal by changing the system parameters. We also examine a model for neurons firing in the brain, where the parameters describe various aspects of the brain chemistry. The methodology we developed is quite general and applies to a large class of parametric systems, not just these examples,” he explained.