Biography
I have a Postdoc-position at UAntwerpen, working on Recommender Systems. Before that, I was a Phd candidate at the NUMA research unit at KU Leuven working on subspace methods for eigenvalue problems. For my masters thesis, I worked on algorithms for CT-scanning (something completely different, but nevertheless very interesting!).
On my github-page, you can find the code used in my publications. In my free time I followed the course on discrete optimisation on coursera, the code used to pass the assignements can be found here. Have fun with it!
Interests:
- Numerical Linear Algebra
- Eigenvalue problems
- Tensor decompositions
- Algorithms for CT-scanning
- Discrete Optimization (free time)
- Recommender systems
Education
- Bsc in Mathematics 2011-2014
- Msc in Financial Mathematics 2014-2016
- Phd in Engineering: Computer Science 2017-2021
- Postdoc at UAntwerpen 2021 - now
Publications
Published papers:
- Ruymbeek, K, Vanroose, W. Algorithm for the reconstruction of dynamic objects in CT-scanning using optical flow. Journal of Computational and Applied Mathematics 367 (2020): 112459. pdf
- Ruymbeek, K, Meerbergen, K, Michiels, W. Calculating the minimal/maximal eigenvalue of symmetric parameterized matrices using projection. Numer Linear Algebra Appl. 2019; 26:e2263 pdf
Preprints:
- Ruymbeek, K, Meerbergen, K, Michiels, W. Tensor-Krylov method for computing eigenvalues of parameter-dependent matrices pdf
- Ruymbeek, K, Meerbergen, K, Michiels, W. Subspace method for multiparameter-eigenvalue problems based on tensor-train representations pdf
Talks
- NASCA’18, July 2-6 2018, Kalamata, Greece: Title: ‘Projection method for approximating the minimal eigenvalue of parametrized symmetric matrices’ slides
- ICIAM’19, July 15-19 2019, Valencia, Spain: Title: ‘Projection method for approximating the expected value and variance of the minimal/maximal eigenvalue’
- ApplMath’20, September 14-18 2020, Brijuni, Croatia: Title: ‘Tensor-Krylov methods for parametrized eigenvalue problems’
Contact
