Postdoctoral Fellow Vegard Antun

Affiliation: Department of Mathematics, University of Oslo

Contact: vegarant@math.uio.no

Research interest

Broadly speaking, I'm interested in applied mathematics, with a particular focus on inverse problems and imaging. In particular, I am interested in methods for recovery of signals (vectors, images, or functions) from a limited set of measurements. The study of such methods uses tools from many areas of mathematics including compressive sensing, approximation theory, mathematical signal processing as well as machine learning techniques such as deep learning. During the last few years, methods based on learning have started to outperform many standard methods, not only in imaging, but in scientific computing in general. Yet, many of these new approaches seem to have a common Achilles heel: stability. Much of my research is focusing on stability and accuracy of methods for inverse problems.

Short bio

2020 - Present: Postdoctoral fellow - University of Oslo.
2016 - 2020: PhD candidate - University of Oslo. Supervised by Øyvind Ryan and Anders C. Hansen.
2014 - 2016: Master's degree - University of Oslo.
2013 - 2014: Military service - Military Police - Sessvolmoen/Kirkenes.
2010 - 2013: Bachelor's degree - University of Oslo.

• See list of publications at Github

Supervisor for the following CompSci project

• Mathematics and Statistics

  • Deep learning observables of solutions of nonlinear hyperbolic partial differential equations (available in call 2)