University of Texas at Austin
Bjorn Engquist

Contact

email

phone (512) 471-2160

office POB 3.324A

Bjorn Engquist

Core Faculty GSC Faculty

Computational and Applied Mathematics Chair I

Lead Center for Numerical Analysis

Professor Mathematics

Research Interests

Numerical Analysis Applied Mathematics

Biography

Bjorn Engquist received his Ph.D. in numerical analysis from Uppsala University in 1975. He has been Professor of Mathematics at UCLA, and the Michael Henry Stater University Professor of Mathematics and Applied and Computational Mathematics at Princeton University. He was director of the Research Institute for Industrial Applications of Scientific Computing and of the Centre for Parallel Computers at the Royal Institute of Technology, Stockholm. At Princeton University, he was director of the Program in Applied and Computational Mathematics and the Princeton Institute for Computational Science. Engquist came to The University of Texas at Austin in 2004, where he is Professor of Mathematics holding the Computational and Applied Mathematics Chair I, and is Director of the Oden Institute Center for Numerical Analysis. Engquist is a member of the Royal Swedish Academy of Sciences, the Royal Swedish Academy of Engineering Sciences and the Norwegian Academy of Science and Letters. He is also a member of the American Academy of Arts and Sciences and a SIAM Fellow.

Engquist’s research focuses on development, analysis and application of numerical methods for differential equations. His earlier work includes the development of absorbing or far field boundary conditions, homogenization theory and nonlinear high-resolution schemes for compressible fluid dynamics. Application areas have been acoustic and electromagnetic wave propagation, aerodynamics and flow in porous media. More recently he has been working on computational multi-scale methods and in particular the development of the Heterogeneous Multi-scale Method. Another recent focus is fast algorithms for wave propagation with applications in seismology. The application to seismology includes novel algorithms for seismic inversion.