University of Texas at Austin
Moncrief Grand Challenge Faculty Awards

Call for Proposals: February 1 (Annually)

Proposal Deadline: March 1 (Annually)

Selections will be announced the week following spring break.

For questions regarding this program, please contact Maria Stanzione.

Moncrief Grand Challenge Faculty Awards

The W. A. “Tex” Moncrief Grand Challenge Awards provide resources to give faculty time to focus on Oden Institute research and academic programs related to the grand challenges in computational engineering and sciences.

Each year, several awards are given to faculty based on their highly compelling research proposals that seek to enhance the competitiveness and international standing of the nation. The awards provide a stipend of up to $75,000 per award to cover salary and other expenses. Acceptance of an award requires the approval of the individual’s home department chair, the relevant dean, and the Oden Institute Director.

The scope of research appropriate for submission under this program is very broad. It includes application-driven grand challenge problems across engineering, the sciences, and medicine, as well as mathematical, statistical and computational foundations that advance the solution of grand challenge problems.

The number of awards made each year will vary depending on the proceeds of the endowment.

Recipients are expected to prepare a final report summarizing their accomplishments. In addition, opportunities will be available to present research accomplishments in the Oden Institute Seminar Series.

FY 2022 Awardees

A practical computational framework for n = 1 clinical trials

Faculty: Tom Yankeelov

Robust and accelerated randomized algorithms for scientific machine learning

Faculty: Rachel Ward

Randomized algorithms for solving linear systems

Faculty: Per-Gunnar Martinsson

Aquifer Characterization from Spaceborne Imaging Radar Data

Faculty: Ann Chen

Exascale computing methods for the design of new battery materials and catalysts

Faculty: Graeme Henkelman

FY 2021 Awardees

Decarbonatization While Increasing Oil Production Using CO2

Faculty: Mary F. Wheeler

Modeling of cold atmospheric-pressure plasma discharge for the synthesis of ammonia as a carbon-free liquid fuel

Faculty: Laxminarayan Raja

Computational Modeling of the Deformation and Failure of Soft Materials

Faculty: Chad M. Landis

FY 2020 Awardees

A Machine-Learning Based Training Tool for Tricuspid Valve Repair: A Prototype

Faculty: Manuel K. Rausch

Uncovering the Secrets of the Glymphatic System and Implications for Neurodegenerative Disease: A Computational Medicine Approach

Faculty: Thomas J.R. Hughes

Neural Network Models of Myocardium Hyperelastic Material Models

Faculty: Michael S. Sacks

FY 2019 Awardees

Predicting Electromagnetic Vulnerabilities of Embedded Cryptography

Faculty: Ali Yilmaz

Robust Space Situational Awareness via Hard/Soft Information Fusion in the Presence of Uncertainty

Faculty: Moriba Jah

A Scalable MPI hp-Adaptive Finite Element Software Library for Complex Multiphysics Applications

Faculty: Leszek F. Demkowicz

Advanced Deep Learning Strategies for Forward and Inverse Problems

Faculty: Tan Bui-Thanh

FY 2018 Awardees

Modeling and Simulation of Three-Dimensional Crack Growth

Faculty: Gregory J. Rodin

DSMC Model Development for Earth’s Upper Atmosphere

Faculty: David Goldstein

A GFEM Framework for Reservoir Simulation of Unconventionals

Faculty: John Foster