Linda Stals has a strong background in the implementation of scalable algorithms on high performance computers. In the quest to simulate successively larger and more realistic models, it has become evident that such goals can not be fully achieved without addressing the design of scalable algorithms; and to realise scalable algorithms attention must be paid to both mathematical and computing ideas. Linda has a unique set of skills that allow her to build on the interface between these two disciplines.
Linda has implemented a parallel multigrid method program based on adaptive finite elements. The code developed as part of this research has formed the basis of projects designed to study applications such as: plasma ion implantation, flow through heterogeneous material (in combination with the DOUG code), radiation transport equations and thin plate splines. She has also studied cache aware multigrid methods and is currently looking at resilient iterative solvers.
In 2014, Linda was awarded a College Commendation For Outstanding Contribution to Student Learning, and nominated for a university citation; and was awarded the status as a Senior Fellow of The Higher Education Academy in 2015.
Previous and Current positions
- January 2002 - : Department of Mathematics at the Australian National University.
- July 1999 - December 2001: Assistant professor in the Department of Computer Science at the Old Dominion University.
- December 1998 - July 1999: Postdoc with David Keyes, Dimitri Mavriplis and Alex Pothen. Joint position between Department of Computer Science at the Old Dominion University and ICASE at NASA Langley Research Centre.
- September 1997 - December 1998: Postdoc position with Ivan Graham in the Department of Mathematical Sciences at the University of Bath.
- April 1996 - September 1997: Postdoc position with Ulrich Rüde in the Lehrstuhl für Angewandte Analysis mit Schwerpunkt Numerik at Universität Augsburg. Prof Rüde is currently at the University of Erlangen-Nürmberg.
- September 1995 - May 1996: Research Assistant with ANU Supercompuer Facility at the Australian National University.
Efficient Solution of Large Scale Problem, Parallel Numerical Methods, Multigrid Methods, Finite Element Methods, Discrete Thin Plate Splines and Fault Tolerant Iterative Methods