Hans De Sterck, University of Waterloo

Research

data analytics hyperbolic PDEs multilevel methods nonlinear preconditioning optimization parallel-in-time methods scalable iterative solvers tensor decomposition

Latest papers

Sum-of-Norms Regularized Nonnegative Matrix Factorization.
Neural computation · 2026 · senior author
Multilevel Monte Carlo Methods for Stochastic Convection-Diffusion Eigenvalue Problems.
Journal of scientific computing · 2024
The influence of societal individualism on a century of tobacco use: modelling the prevalence of smoking.
BMC public health · 2015 · senior author

All 6 publications

Latest funding

Advances in Scalable Iterative Solvers: Multilevel, Nonlinearly Preconditioned, and Parallel-in-Time
NSERC · 2019 · Principal investigator
$288,000
Multilevel Algorithms for Tensor and Network Problems
NSERC · 2013 · Principal investigator
$140,338
Maximizing the WARP actuator power output under high torque requirements by computational modelling and structural optimization
NSERC · 2013 · Principal investigator
$25,000

All 6 grants and awards

6 publications.

01

Sum-of-Norms Regularized Nonnegative Matrix Factorization.

Ang A, Hamed WB, De Sterck H

Neural computation2026Senior author

DOI: 10.1162/neco.a.1482 PMID: 41370748

02

Multilevel Monte Carlo Methods for Stochastic Convection-Diffusion Eigenvalue Problems.

Cui T, De Sterck H, Gilbert AD, Polishchuk S, Scheichl R

Journal of scientific computing2024

DOI: 10.1007/s10915-024-02539-9 PMID: 38708025

03

The influence of societal individualism on a century of tobacco use: modelling the prevalence of smoking.

Lang JC, Abrams DM, De Sterck H

BMC public health2015Senior author

DOI: 10.1186/s12889-015-2576-6 PMID: 26695640

04

Generalized Monte Carlo loop algorithm for two-dimensional frustrated Ising models.

Wang Y, De Sterck H, Melko RG

Physical review. E, Statistical, nonlinear, and soft matter physics2012

DOI: 10.1103/physreve.85.036704 PMID: 22587206

05

Multilevel space-time aggregation for bright field cell microscopy segmentation and tracking.

Inglis T, De Sterck H, Sanders G, Djambazian H, Sladek R, Sundararajan S, Hudson TJ

International journal of biomedical imaging2010

DOI: 10.1155/2010/582760 PMID: 20467468

06

Monte Carlo study of degenerate ground states and residual entropy in a frustrated honeycomb lattice Ising model.

Andrews S, De Sterck H, Inglis S, Melko RG

Physical review. E, Statistical, nonlinear, and soft matter physics2009

DOI: 10.1103/physreve.79.041127 PMID: 19518193

Advances in Scalable Iterative Solvers: Multilevel, Nonlinearly Preconditioned, and Parallel-in-Time

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: De Sterck, Hans

Keywords: scalable iterative solvers; multilevel methods; nonlinear preconditioning; optimization; parallel-in-time methods; hyperbolic pdes; tensor decomposition; data analytics

$288,000