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:

• Randomized numerical linear algebra by Petros Drineas

• Data driven scientific computing and matrix analysis by David Gleich

• Parallel and distributed systems by Ananth Grama

• Combinatorial scientific computing, parallel computing, and bioinformatics algorithms by Alex Pothen

• Computer graphics and visualization by Elisha Sacks

• Numerical linear algebra, numerical analysis and scientific computing by Jianlin Xia