|
|
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.
Scientific Computing and Visualization Faculty
| 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. |
| Frank Stenger |
Sinc methods, numerical analysis, inverse
problems. |
| Ross Whitaker |
Computer vision, visualization, and image processing. |
Affliated Faculty
Graduate Students
Research Links
Computing Facilities
CES Graduate Program
Courses
Please send mail to coleman@cs.utah.edu with corrections and
additions.
|
