About SIAM/ACM Prize in Computational Science and Engineering

George Karniadakis of Brown University was awarded the 2021 SIAM/ACM Prize in Computer Science and Engineering at the SIAM Conference on Computational Science and Engineering (CSE 2021).

Karniadakis is the Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Engineering at Brown University.

The prize honors Karniadakis for advancing spectral elements, reduced-order modeling, uncertainty quantification, dissipative particle dynamics, fractional PDEs, and scientific machine learning, while pushing applications to extreme computational scales and mentoring many leaders.

A Fellow of SIAM, Karniadakis's work has been cited more than 53,500 times.

For more information read the SIAM news release.

Jack Dongarra of the University Tennessee was awarded the 2019 SIAM/ACM Prize in Computer Science and Engineering on February 28 at the SIAM Conference on Computational Science and Engineering (CSE19) in Spokane, Washington.

Dongarra is a University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee.

The prize honors Dongarra for his key role in the development of software and software standards, software repositories, performance and benchmarking software, and in community efforts to prepare for the challenges of exascale computing, especially in adapting linear algebra infrastructure to emerging architectures.

He is a Fellow of the AAAS, ACM, IEEE, and SIAM, and a member of the National Academy of Engineering. He also received the 2013 ACM/IEEE Ken Kennedy Award.

For more information read the SIAM news release.

Thomas J. R. Hughes of the University of Texas at Austin was awarded the 2017 SIAM/ACM Prize in Computer Science and Engineering on March 2 at the SIAM Conference on CS&E (CSE17) in Atlanta, Georgia.

Hughes is Peter O'Donnell Jr. Chair in Computational and Applied Mathematics and Professor of Aerospace Engineering and Engineering Mechanics at the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin.

The prize honors Hughes for his pioneering work on finite element methods for PDEs. His work is used worldwide in engineering design and simulation, and has impacted every field of science that uses finite element methods, including medicine. He has also made pioneering contributions to the seamless integration of modeling methodologies with design representations. He has created entirely new fields of research, including Stabilized Methods, Variational Multiscale Methods, and Isogeometric Analysis, and continues to lead their development.

According to the citation: "The work of Thomas J. R. Hughes has had profound impact on computational science and engineering. His pioneering numerical methods for solving PDEs have been implemented in every contemporary commercial finite element code, and are used daily throughout the world in all areas of engineering design and simulation. Beyond engineering, his methods have impacted every field of science that uses finite element methods, including medicine. He has also made pioneering contributions to the seamless integration of modeling methodologies with design representations. He has created entirely new fields of research, including Stabilized Methods, Variational Multiscale Methods, and Isogeometric Analysis, and continues to lead their development."

For more information read the SIAM news release.