Founder of the prize is the Elite Graduate Program "Bavarian Graduate School of Computational Engineering"(BGCE). Once possible again, the prize winner will be invited to spend one week (air fare, accomodation, and local expenses covered) in Bavaria, visiting FAU and TUM and getting in contact with BGCE’s educational and research program, one of the most advanced ones in Europe. The main objective is to promote excellent students in CS&E and to foster international exchange at an early career stage. Eligible for the prize are undergraduate and graduate students prior to receiving their PhD (at date of submission).
The Submissions and Finalists
Out of 24 submitted short papers from well-known international institutions, a BGCE committee selected the following eight finalists for this year who have presented their contributions in the two special minisymposia MS 6 and MS 96 at the SIAM CS&E conference:
- Shane A. McQuarrie (Oden Institute for Computational Engineering and Sciences, University of Texas at Austin): Data-driven Reduced-order Models via Regularized Operator Inference
- Nicole Aretz (Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University): An Observability Criterion for Sensor Selection for Configuration-dependent Linear Bayesian Inverse Problems With Correlated Noise
- Michael G. Kapteyn (Department of Aeronautics and Astronautics, Massachusetts Institute of Technology): A Probabilistic Graphical Model Foundation For Enabling Predictive Digital Twins At Scale
- Georg Maierhofer (Department of Applied Mathematics and Theoretical Physics, University of Cambridge): A general method for moment computation in Filon methods
- Jens Hahne (Fakultät für Mathematik und Naturwissenschaften, Bergische Universität Wuppertal): Time-Parallel Simulation of an Induction Machine using MGRIT with Spatial Coarsening
- Terrence Alsup (Courant Institute of Mathematical Sciences, New York University): Trading-off Deterministic Preconditioning and Sampling in Bayesian Inference
- Maria Strazzullo (mathLab, Scuola Internazionale Superiore di Studi Avanzati (SISSA), Triest): Reduced Order Models for Parametrized Optimal Control in Advanced Applications: From Nonlinearity To Time Dependency
- Shashank Subramanian (Oden Institute for Computational Engineering and Sciences, University of Texas at Austin): A Scalable Inversion Framework for Brain Tumor Growth Models in Personalized Medicine
The papers and presentations have been by assessed by an international jury consisting of the following reserarchers: Hartwig Anzt (Karlsruhe), Hans-Joachim Bungartz (TUM), Rolf Krause (Università della Svizzera italiana, CH), Esmond Ng (Lawrence Berkeley National Laboratories, USA), Anne Reinarz (Durham University, UK), Barbara Wohlmuth (TUM), Carol Woodward (Lawrence Livermore National Laboratories, USA). Despite the consistently extremely high quality of the presentations, the vote of the jury was unanimous: This year’s winner is Shashank Subramanian of the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. His work represents a major leap forward for probability-based backward computations (the so-called Bayesian Inversion) in the context of patient-specific location of initial areas of brain tumors. We are looking forward to Shashank Subramanians visit in Bavaria once the Corona pandemia allows to realize it in a useful manner.
History of previous prize winners:
- 2019: Elizabeth Qian (MIT) und Zakia Zainib (SISSA)
- 2017: Robert Gantner (ETH Zürich)
- 2015: David Emerson (Tufts University)
- 2013: Tobin Isaac (ICES, UT Austin)
- 2011: Andrea Manzoni (EPF Lausanne)
- 2009: Gisela Widmer (ETH Zürich) und Chad Lieberman (MIT)
- 2007: Alfonso Bueno Orovio (Universidad de Castilla-La Mancha, Spain)
Text: Tobias Neckel, Coordinator of the Elite Graduate Program "Bavarian Graduate School of Computational Engineering"