Brown’s Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Engineering George Karniadakis will receive the SIAM/ACM Prize in Computational Science and Engineering at the Society for Industrial and Applied Mathematics (SIAM) Conference on Computational Science and Engineering. The conference will be held virtually March 1-5, 2021.
SIAM and the Association for Computing Machinery (ACM) jointly award the SIAM/ACM Prize in Computational Science and Engineering every two years at the SIAM Conference for outstanding contributions to the development and use of mathematical and computational tools and methods for the solution of science and engineering problems. With this award, SIAM and ACM recognize Karniadakis for advancing spectral elements, reduced-order modeling, uncertainty quantification, dissipative particle dynamics, fractional partial differential equations (FPDEs), and scientific machine learning, while pushing applications to extreme computational scales and mentoring many leaders.
Karniadakis received his master’s and Ph.D. degrees from the Massachusetts Institute of Technology in 1984 and 1987, respectively. He was appointed as a lecturer in the Department of Mechanical Engineering at MIT in 1987 and subsequently joined the Center for Turbulence Research at Stanford / NASA Ames. He joined Princeton University as an assistant professor in the Department of Mechanical and Aerospace Engineering and as associate faculty in the Program of Applied and Computational Mathematics in 1988. He was a visiting professor at Caltech (1993) in the Aeronautics Department, moving to Brown University as an associate professor of applied mathematics in the Center for Fluid Mechanics on January 1, 1994. He became a full professor on July 1, 1996.
He has been a visiting professor and senior lecturer of Ocean/Mechanical Engineering at MIT since September 1, 2000. He has also served twice as a visiting professor at Peking University (2007 & 2013). He is a Fellow of SIAM, Fellow of the American Physical Society (APS), Fellow of the American Society of Mechanical Engineers (ASME) and Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA). He has been a recipient of the Computational Fluid Dynamics award (2007) and the J. Tinsley Oden Medal (2013) by the U.S. Association in Computational Mechanics. His h-index, a quantifier of an individual’s scientific research output, is 89, while his research has been cited over 40,500 times.
Karniadakis' research interests include diverse topics in computational science both on algorithms and applications. His CRUNCH group members have diverse interdisciplinary backgrounds, working at the interface of Computational Mathematics + Machine Learning + X, where X may be problems in biology, geophysics, soft matter, functional materials, physical chemistry, or fluid and solid mechanics. The newest emphasis of the group is on Scientific Machine Learning and on PINNs (Physics-Informed Neural Networks) that the CRUNCH group pioneered.