Paul Van Dooren

Paul Van Dooren

Paul Van Dooren
Universite Catholique de Louvain BELGIUM

Paul M. Van Dooren received the engineering degree in computer science and the doctoral degree in applied sciences, both from the Katholieke Universiteit te Leuven, Belgium, in 1974 and 1979, respectively. He held research and teaching positions at the Katholieke Universiteit te Leuven (1974-1979), the University of Southern California (1978-1979), Stanford University (1979-1980), the Australian National University (1984), Philips Research Laboratory Belgium (1980-1991), the University of Illinois at Urbana-Champaign (1991-1994), Florida State University (1998) and the Université Catholique de Louvain (1980-1991, 1994-now) where he is currently a professor of Mathematical Engineering.

Dr. Van Dooren received the IBM-Belgium Informatics Award in 1974, the Householder Award in 1981 and the SIAM Wilkinson Prize of Numerical Analysis and Scientific Computing in 1989. He is a Fellow of IEEE and of SIAM (Society of Industrial and Applied Mathematics). He received the Francqui Chair in Antwerp in 2010. He is an Associate Editor of several journals in numerical analysis and systems and control theory. His main interests lie in the areas of numerical linear algebra, systems and control theory, and in numerical methods for large graphs and networks.

Research stay at UC3M: DEPARTMENT OF MATHEMATICS

Project: Theoretical and Numerical Methods for Matrix Problems arising in Control, Dynamical Systems, and Complex Networks.

This research project presents several open problems that will allow me to collaborate with several investigators of the research groups “Numerical Linear Algebra and Matrix Theory” and "Mathematics Applied to Control, Systems, and Signals" of the Universidad Carlos III.

The study of dynamical systems and networks heavily relies on the analysis of polynomial system models, and more specifically on standard and/or generalized state space models. Even though the theory behind these polynomial models is quite well understood, there are still important numerical issues that need to be addressed: algorithms used to compute the various structural elements of these models are still quite sensitive to perturbations and have a computational cost that is often too high. In this project we focus on several such problems and propose new algorithms with improved robustness and complexity properties. These problems include the development of a new canonical form for polynomial matrices, the study of robustness issues of dynamical systems in state space form, and the solution of special matrix equations for complex networks with special structure.

Stay period: DEC 2013 - JUL 2014