Dieuwertje Alblas - MIA
Riccardo Bardin - MACS
Vincent Bosboom - MACS
Nicoló Botteghi - MIA
Xiaoyu Cheng - MACS
Giacomo Cristinelli - MIA
Sven Dummer - MIA
Sagy Ephrati - MMS
Arnout Franken - MMS
Elena Giamatteo - MACS
Leonardo del Grande - MIA
source: http://www.malinc.se/math/trigonometry/geocentrismen.php - Heeringa - MIA
Lucas Jansen Klomp - MIA
Muhammad Hamza Khalid - MACS
Nishant Kumar - MACS
Kaifang Liu - MACS
Xiangyi Meng - MACS
Nida Mir - MIA / MDI-TNW
Hongliang Mu - MAST
Kevin Redosado - 3MS
Julian Suk - MIA
Hannah van Susteren - MIA
Elina Thibeua-Sutre - MIA
Alexander Wierzba - MAST
Jens de Vries - MAST
Fengna Yan - MACS
Weihao Yan - MIA

Welcome to SACS

The availability of very large data sets offers new possibilities and challenges for research within SACS.

Data-driven science allows the discovery of hidden parameters or functions in dynamical systems from observed data by solving (ill-posed) inverse problems. Also, topics such as uncertainty quantification and model order reduction are rapidly gaining importance. We aim therefore to combine data-driven science with our strong research in dynamical systems, scientific computing, and mathematical systems theory. This will offer new opportunities to obtain more accurate data-driven models in for instance neuroscience, seismic, and turbulence, but also present significant mathematical challenges, such as understanding the mathematical properties of these new models and techniques and deriving and analyzing accurate and efficient numerical discretizations for these novel approaches.

The SACS research team focuses on the following topics in the area of dynamical systems, numerical analysis and scientific computing, and on systems and control, and in particular, their relation with data science.


SACS is contributing to NDNS+, one of the four mathematics clusters in the Netherlands. Our work is part of the JM Burgers Center for Fluid Mechanics and the DISC research school on Systems and Control. We are active partners of 4TU.AMI, the Applied Mathematics Institute of the three Universities of Technology and the University of Wageningen, PWN, the Netherlands Mathematics Platform and of AI in Mathematics.

Our teaching program prepares students for working in academia and in industry, strengthened by our unique emphasis on close multidisciplinary collaboration.

SACS in the News!