Scientific Computation
The School of Computing at the University of Utah has scientific computing research efforts in adaptive methods, inverse and imaging problems, numerical analysis, distributed and parallel computing, problem solving environments, integral methods, sinc function methods, Monte Carlo algorithms, computational complexity and computational science applications in combustion, geophysics, computational fluid dynamics, and medicine.
| Martin Berzins | Scientific computing and visualization. | Chuck Hansen | Parallel and distributed computing, problem solving environments. |
| Chris Johnson | Inverse problems, adaptive methods, problem solving environments; |
| Mike Kirby | Computational Mathematics (for fluid mechanics, solid mechanics and electromagnetics). |
| Steve Parker | Parallel component architectures, scientific visualization, and computer graphics . |
| Kris Sikorski | Computational complexity, parallel and distributed computing. |
| Claudio Silva | Point-Based Modeling and Rendering. |
| Ross Whitaker | Computer vision, visualization, and image processing. |
Affliated Faculty
| Tom Henderson | Simulation, levels sets. |
Please send mail to coleman@cs.utah.edu with corrections and additions.