Personal profile


Hans De Sterck is a Professor of Computational and Applied Mathematics, doing research in numerical methods for computational science and data science.


Professional activities:
Prof. De Sterck is serving as an Associate Editor of the SIAM Journal on Scientific Computing (since 2008), and as Vice Chair of the SIAM activity group on Computational Science and Engineering (SIAG CSE) (2015-2016). He co-chaired the 2015 SIAM conference on Computational Science and Engineering, which, with 1700 attendees, was the largest SIAM conference to date.


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Research interests

Areas of research:
(1) Numerical methods for scientific computing: numerical linear algebra, numerical optimization, numerical methods for PDEs, multilevel methods, hyperbolic conservation laws, parallel computing. Applications in computational fluid dynamics, space physics, image analysis, Markov chains.

(2) Data science: social network analysis, social media, tensor decomposition, algorithms for distributed big data analytics, cloud computing, recommendation, Markov chain Monte Carlo methods, computational social science, health science.

Prof. De Sterck is always interested in exploring new interdisciplinary collaborations with application specialists in science, engineering and technology. His group contributes fast, accurate and scalable computational methods to these collaborations.

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2009 2017

Efficient parameter learning of Bayesian network classifiers

Zaidi, N. A., Webb, G. I., Carman, M., Petitjean, F., Buntine, W., Hynes, M. & De Sterck, H. 26 Jan 2017 (Accepted/In press) In : Machine Learning. p. 1-41 41 p.

Research output: Research - peer-reviewArticle

High-order finite-volume scheme with anisotropic adaptive mesh refinement: Efficient inexact newton method for steady three-dimensional flows

Freret, L., Groth, C. P. T., Nguyen, T. B. & De Sterck, H. 2017 23rd AIAA Computational Fluid Dynamics Conference, 2017. Reston VA USA: American Institute of Aeronautics and Astronautics Inc, AIAA, 14 p.

Research output: ResearchConference Paper

Open Access

A hierarchy of linear threshold models for the spread of political revolutions on social networks

Lang, J. C. & De Sterck, H. 1 Sep 2016 In : Journal of Complex Networks. 4, 3, p. 426-456 31 p.

Research output: Research - peer-reviewArticle

A polynomial expansion line search for large-scale unconstrained minimization of smooth L2-regularized loss functions, with implementation in Apache Spark

Hynes, M. & De Sterck, H. 2016 Proceedings of the Sixteenth SIAM International Conference on Data Mining 2016. Chawla, S. & Meira Jr., W. (eds.). Philadelphia PA USA: Society for Industrial and Applied Mathematics SIAM Publications, p. 1-9 9 p.

Research output: Research - peer-reviewConference Paper