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Professor Eric de Sturler
Virginia Tech (USA)
Professor Eric de Sturler
Virginia Tech (USA)
Professor de Sturler's research focuses on numerical analysis for large-scale computational problems with an emphasis on fast solvers for linear and nonlinear systems, inverse problems and parameter estimation, optimization, and design, including iterative solvers and numerical linear algebra, randomization, stochastic methods, model reduction, and high performance computing with applications in computational mechanics, such structural optimization and computational fluid dynamics, tomography and image reconstruction, big data, computational physics, biology, and computer graphics.
Homepage: math.vt.edu/people/faculty/desturler-eric.html
Professor Chen Greif
The Universisty of British Columbia (Canada)
Professor Chen Greif
The Universisty of British Columbia (Canada)
Professor Greif's research interests fall in the broad category of scientific computing. He is primarily interested in numerical linear algebra, and in particular, in investigating and implementing iterative techniques for efficiently solving large sparse linear systems that arise in various areas of applications, ranging from partial differential equations to constrained optimization problems.
Homepage: www.cs.ubc.ca/~greif/
Professor Xiaozhe Hu
Tufts University (USA)
Professor Xiaozhe Hu
Tufts University (USA)
Professor Hu's research interests include spectral graph theory and algorithms; fast and scalable solvers for large-scale sparse linear systems and optimization; and quantum, adaptive, and structure-preserving algorithms for partial differential equations, along with their applications (e.g., poromechanics, brain mechanics, reservoir simulation, magnetohydrodynamics, bioinformatics, and network analysis).
Homepage: xiaozhehu.math.tufts.edu/
Professor Scott MacLachlan
Professor Scott MacLachlan
Memory University of Newfoundland (Canada)
Memory University of Newfoundland (Canada)
Professor MacLachlan's research interests lie in computational applied mathematics and scientific computation. In particular, his work centers on the development and analysis of finite-element and multigrid methods, typically for PDE-based models of fluid and solid mechanics. His work involves aspects of functional and numerical analysis, numerical linear algebra, and physical modelling. He currently serves as a section editor of the SIAM Journal on Scientific Computing, associate editor of the SIAM Journal on Matrix Analysis and Applications and is on the editorial board of Numerical Linear Algebra with Applications. He is also co-chair of the program committee of the biennial Colorado Conference on Iterative and Multigrid Methods.
Homepage: www.math.mun.ca/~smaclachlan/
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