Computational Science and Engineering

The Department of Computer Science conducts research on the application of numerical and parallel computing to problems in science and engineering. The Department has a long history of research in this area, e.g., pioneering work in mathematical software and problem solving environments.

Current research areas:

Scientific Simulation, Data Analysis, and Uncertainty Quantification David Gleich

Parallel and distributed systems Ananth Grama

Modeling of large scale systems Christoph M. Hoffmann

Wavelets and Image Processing Bradley J. Lucier

Combinatorial Scientific Computing, Parallel Computing, and Bioinformatics Algorithms Alex Pothen

Computer Graphics and Visualization Elisha Sacks

Parallel Algoritms for Scientific Computing Ahmed Sameh

Computational Methods for Biomolecular Simulation Robert Skeel