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Professor Craig C. Douglas

Dr. Douglas Craig C. Douglas, Ph.D., Yale University
School of Energy Resources Distinguished Professor of Mathematics
Adjunct Professor of Computer Science
Ross Hall 227 | +1-307-766-4221
Research interests: Computational science, Parallel scientific
computing, and Data science


Ph.D. Computer Science, Yale University, 1982
M.Phil. Computer Science, Yale University, 1981
M.S. Computer Science, Yale University, 1978
B.A. Mathematics, University of Chicago, 1977

About Dr. Douglas

Craig Douglas joined the University of Wyoming faculty in 2008. He came to the University of Wyoming from the University of Kentucky and Yale University.

He is a School of Energy Resources Distinguished Professor of Mathematics. He leads the NumPor project at the University of Wyoming. His expertise includes eXtreme Technical Computing on parallel supercomputers and GP-GPUs, dynamic interactions between physical models, computation, and networks of sensors to create long running, Big Data applications that are self correcting and do not need to be restarted when new data is generated. He is an expert on multigrid methods and other numerical methods for solving partial differential equations.


Since coming to the University of Wyoming he has been awarded a Zi-Qiang Professorship of Computer Science Award at Shanghai University (summer 2009), visiting professor at King Abdullah University of Science & Technology (summers 2011-2014), visiting professor at Kyoto University (summers 2015 and 2017), and 21st Century Engineer (International Association of Engineers, Hong Kong, 2017).

Representative publications

  1. 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.
  2. C. C. Douglas, J. Hu, M. Kowarschik, U. Ruede, and C. Weiss, Cache optimization for structured and unstructured grid multigrid, Electronic Transactions on Numerical Analysis, 10 (2000), pp. 21-40.
  3. 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.
  4. L. Jiang and C. C. Douglas, A unified analysis of 4D variational data assimilation and its application, Computing, 84 (2009), pp. 97-120.
  5. C. C. Douglas, An open framework for dynamic big-data-driven application systems (DBDDAS) development, 29 (2014), Procedia Computer Science, pp. 1246-1255.

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