Nick Higham is Royal Society Research Professor and Richardson Professor of Applied Mathematics. His research focuses on the development of algorithms, primarily in numerical linear algebra, and analysis of their accuracy and stability. Current research topics include functions of matrices, rounding error analysis, and matrix nearness and completion problems. In particular, he is developing effective mixed precision algorithms that exploit GPUs and other many-core processors. Nick is a Fellow of the Royal Society, a SIAM Fellow, and a Member of Academia Europaea. He publishes a blog about applied mathematics.
Françoise Tisseur is Professor of Numerical Analysis and Director of the Manchester Institute of Mathematical Sciences. Her work focuses on nonlinear eigenvalue problems and structured matrix problems, including the development of algorithms and software. She is a member of the editorial boards of the SIAM Journal on Matrix Analysis and Applications and the IMA Journal of Numerical Analysis. She is a SIAM Fellow.
Jack Dongarra holds appointments at the University of Tennessee, Oak Ridge National Laboratory, and the University of Manchester. He specializes in numerical algorithms in linear algebra, parallel computing, use of advanced-computer architectures, programming methodology, and tools for parallel computers. He was awarded the IEEE Sid Fernbach Award in 2004; in 2008 he was the recipient of the first IEEE Medal of Excellence in Scalable Computing; in 2010 he was the first recipient of the SIAM Special Interest Group on Supercomputing’s award for Career Achievement; in 2011 he was the recipient of the IEEE Charles Babbage Award; and in 2013 he received the ACM/IEEE Ken Kennedy Award. He is a Foreign Member of the Royal Society, a member of the US National Academy of Engineering, a foreign member of the Russian Academy of Science, and a Fellow of the AAAS, ACM, IEEE, and SIAM.
Sven Hammarling is currently a Senior Honorary Research Fellow. He is a SIAM Fellow, an Honorary Principal Consultant at NAG Ltd and an IMA Fellow.
Stefan Güttel is Reader in Numerical Analysis and PhD Director of Applied Mathematics. His work focuses on iterative methods for solving high-dimensional problems arising with differential equations and in data-driven applications, including the development of algorithms and software (such as the Rational Krylov Toolbox). He is Associate Editor for the SIAM Journal on Scientific Computing and has been awarded a Turing Fellowship.