The SACS research team will focus on the following topics in the area of dynamical systems, numerical analysis and scientific computing, and systems and control and in particular, their relation with data science. 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, seismics and turbulence, but also present important mathematical challenges, such as understanding the mathematical properties of these new models and techniques and to derive and analyze accurate and efficient numerical discretizations for these novel approaches.

The SACS research team works on  topics in the area of dynamical systems, numerical analysis and scientific computing, and systems and control and in particular, their relation with data science, motivated by applications in physics, engineering and life sciences.  

Here you can find the list of output generated by the group members of SACS  

SACS participates in the Twente Graduate School (TGS) and contributes to  the national research schools: 

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In the SACS group there is one scientific meeting: