David E. Keyes
215 S.W. Mudd, Mail Code: 4701
New York, NY 10027
Phone: +1 212 854 1120
Email:
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Fu Foundation Professor of Applied Mathematics
Research specialty
Applied and computational mathematics for PDEs, computational science, parallel numerical algorithms, parallel performance analysis, PDE-constrained optimization
Education
Ph.D. Harvard University, 1984
Biography
David E. Keyes is the Fu Foundation Professor of Applied Mathematics in the Department of Applied Physics and Applied Mathematics at Columbia University, an affiliate of the computational science acticities at Argonne, Brookhaven, and Oak Ridge National Laboratories, and Acting Director of Institute for Scientific Computing Research (ISCR) at Lawrence Livermore National Laboratory.
Keyes graduated summa cum laude with a B.S.E. in Aerospace and Mechanical Sciences and a Certificate in Engineering Physics from Princeton University in 1978. He received his Ph.D. in Applied Mathematics from Harvard University in 1984. He then post-doc'ed in the Computer Science Department at Yale University and taught there for eight years, as Assistant and Associate Professor of Mechanical Engineering, prior to joining Old Dominion University and the Institute for Computer Applications in Science & Engineering (ICASE) at the NASA Langley Research Center in 1993. At Old Dominion, Keyes was the Richard F. Barry Professor of Mathematics & Statistics and founding Director of the Center for Computational Science.
Author or co-author of over 100 publications in computational science and engineering, numerical analysis, and computer science, Keyes has co-edited 12 conference proceedings concerned with parallel algorithms and has delivered over 300 invited presentations at universities, laboratories, and industrial research centers in over 20 countries and 35 states of the U.S. With backgrounds in engineering, applied mathematics, and computer science, and consulting experience with industry and national laboratories, Keyes works at the algorithmic interface between parallel computing and the numerical analysis of partial differential equations, across a spectrum of aerodynamic, geophysical, and chemically reacting flows. Newton-Krylov-Schwarz parallel implicit methods, introduced in a 1993 paper he co-authored at ICASE, are now widely used throughout engineering and computational physics, and have been scaled to thousands of processors.
Among Keyes' awards are: the Sidney Fernbach Award, 2007, the Gordon Bell Prize for High Performance Computing, Special Category (shared), 1999, a National Science Foundation Presidential Young Investigator Award, 1989, and a Yale College Prize for Teaching Excellence in the Natural Sciences, 1991. Keyes has led one of NSF's "Grand, National, and Multidisciplinary Challenges" centers and one of the DOE's ASCI centers. He currently directs a nine-institution software infrastructure center for the DOE, one of seven such centers created nationally in 2001 under the Scientific Discovery through Advanced Computing initiative (SciDAC).
A SIAM Visiting Lecturer since 1992 and a member of the SIAM Council since 2000, Keyes became the Vice President-at-Large of SIAM in January 2006. He is a member of the Presidential Council of Advisors in Science & Technology (PCAST, Networking and Information Technology Committee) and of the Advisory Committee of the Mathematics and Physical Sciences Directorate of the NSF, for Cyberinfrastructure. Keyes has edited several community reports on simulation in fusion, fission, aerodynamics, nanotechnology, and other areas of science and engineering. In 2003, he organized the "Science-based Case for Large-scale Simulation" workshop for the DOE. He also chairs the Steering Committee for the DOE Computational Science Graduate Fellowships. At Columbia, he is faculty advisor to the local student chapter of SIAM.
Select Publications
Reconstructing Parameters of the Fitzhugh-Nagumo System
from Boundary Potential Measurements,
Y. He & D. E. Keyes, 2007,
J. Comput. Neurosciences, DOI 10.1007/s10827-007-0035-9.
Additive Schwarz-based Fully Coupled Implicit methods for
Resistive Hall Magnetohydrodynamic Problems,
S. Ovtchinnikov, F. Dobrian, X.-C. Cai & D. E. Keyes, 2007,
J. Comput. Phys., DOI 10.1016/j.jcp.2007.02.027.
Jacobian-Free Newton-Krylov Methods: A Survey of Approaches
and Applications}, D. A. Knoll & D. E. Keyes, 2004,
J. Comp. Phys., 193:357--397.
High Performance Parallel Implicit CFD,
W. D. Gropp, D. K. Kaushik, D. E. Keyes & B. F. Smith, 2001,
Parallel Computing 27:337--362.
A Science-based Case for Large-scale Simulation,
D. E. Keyes, editor-in-chief, 2003 (Volume 1) and 2004 (Volume 2),
U.S. Department of Energy, http://www.pnl.gov/scales