Craig Douglas
Dr. Craig Douglas is an SER Professor of Mathematics in the Department of Mathematics.
He received his Ph.D. from Yale University. He is internationally known for his research
in a Big Data variant of dynamic data-driven application systems (DDDAS), high performance
computing systems, computational science applications, and multigrid algorithms for
solving partial differential equations. He was part of a small development team of
the first commercial DDDAS for oil and gas pipeline monitoring and control that was
deployed in over 100 countries.
Education
Ph.D. Yale University 1982
M.Phil. Yale University 1980
M.S. Yale University 1978
A.B. Chicago University 1977
Invited and Keynote Presentations
Dr. Douglas has given 10 invited or keynote talks at international conferences in
2014 - 2015 in China, Hong Kong, Japan, Saudi Arabia, and the United States. During
this period, he has given invited presentations at other venues in Australia, Belgium,
China, Germany, and Iceland. He gave a 22 hour invited mini-course on Big Data at
SER’s partner the Chinese University of Petroleum in July 2015.
Publications
- C. C. Douglas, “An Open Framework for Dynamic Big-Data-Driven Application Systems
(DBDDAS) Development,” 29 (2014), Procedia Computer Science, pp. 1246-1255.
- S. O. Settle, C. C. Douglas, I. Kim, and D. Sheen, “On the derivation and highest-order
of compact finite-difference schemes for the one- and two-dimensional Poisson equation
with Dirichlet boundary conditions,” SIAM Journal on Numerical Analysis, 54 (2013),
pp. 2470-2490.
- C. C. Douglas, Y. Efendiev, R. Ewing, V. Ginting, R. Lazarov, M. Cole, and G. Jones,
“Least squares approach for initial data recovery in dynamic data-driven applications
simulations,” Computation and Visualization in Science, 13 (2010), pp. 365-375.
- C. C. Douglas, F. Furtado, V. Ginting, M. Mendes, F. Pereira, and M. Piri, “On the
development of a high performance tool for the simulation of CO2 injection into deep
saline aquifers,” Rocky Mountain Geology, 45 (2010), pp. 151-161.
Grants
- “Collaborative Research: CI-Water,” September 2011 - August 2015, National Science
Foundation, $6,000,000 ($2,564,127 for the University of Wyoming), co-principal investigator
with Fred Ogden and joint with Brigham Young University, Utah State, and the University
of Utah.
- “CC*IIE Networking Infrastructure: Enabling Scientific Discovery through a UW-DMZ,”
September 1, 2014 - August 31, 2016, National Science Foundation, $500,000, principal
investigator.
Teaching
- Computational Mathematics and Applications
- Big Data, Data Mining, and Dynamic Applications