Hans De Sterck is a Professor of Computational and Applied Mathematics at Monash University's School of Mathematical Sciences. He did his PhD research at the University of Leuven, followed by postdocs and faculty positions at the University of Colorado at Boulder and the University of Waterloo. His research focuses on developing fast, accurate and scalable numerical methods for computational science and data science. He has made contributions to the areas of multigrid methods, numerical PDEs, and numerical optimisation, with applications in science and engineering. More recent research interests focus on models and algorithms for networks and data science, including algorithms for distributed big data analytics. Prof. De Sterck is a member of the senior editorial team of the SIAM Journal on Scientific Computing, and is currently serving as Vice Chair of the SIAM activity group on Computational Science and Engineering.
computational methods and applications
Invited talks, refereed proceedings and other conference outputs
Krzysik, O., De Sterck H., MacLachlan S., & Friedhoff S.
(2019). Space-time reduction methods for linear PDEs. SIAM Conference on Computational Science and Engineering (CSE19).
Polishchuk, S., De Sterck H., & Cui T.
(2019). Multi-level and Multi-index Monte Carlo Discontinuous Galerkin Methods for Uncertainty Quantification of Nonlinear Hyperbolic Problems. SIAM Conference on Computational Science and Engineering (CSE19).