I belong to the research group in Computational Mathematics at the Department of Informatics which is also part of the NFR-funded Centre of Excellence ‘Centre of Mathematics for Applications’.  My interests are in geometric modelling and approximation theory, particularly spline functions.

Recently, I have also become interested in the field of image fusion. Given two or more images of the same object, the challenge is to build a synthetic image of the object that in some sense is better than the given images. The given images are often obtained through different means, for instance from video, MRI, CT,  X-ray, or ultrasound. This kind of problem also occurs in the processing of data from 3D scanners where two related point clouds, obtained by scanning from slightly different points of view, need to be merged (’registered’).

 

Over the past 6-7 years I have been heavily involved in reforming our elementary teaching of mathematics and the mathematical sciences. This is a major initiative to include a computational perspective in our teaching, from the students’ first day at the university. In maths this basically means that we try to teach the students to develop algorithms for computing important objects, and not only what the objects’ properties are.

 

Please note that these pages are under construction!