Workshop at the Technical University of Denmark, room 101/S02
Wednesday, November 22, 2023, 9:00 – 12:00
Organized by Kim Knudsen within the CUQI framework
Inverse problems are about recovering images or parameters of quantities from indirect measurements. Applications include medical imaging, process tomography, non-destructing testing, and seismology. Such problems are often high-dimensional and ill-posed, and hence we need to take advantage of clever modeling and regularization to obtain fast and reliable computational methods.
The aim of this workshop is to bring together researchers with an interest in combining theory with modelling and computations for inverse problems and learn about new progress. The workshop is organized within the CUQU framework, funded by the Villum Foundation.
Program
9:00 Josselin Garnier, École Polytechnique, France
Reduced order model approach for imaging with waves
9:50 Hanne Kekkonen, TU Delft, Netherlands
Data based density selection for random tree Besov priors
10:40 Coffee break
11:00 Tanja Tarvainen, University of Eastern Finland, Finland
Utilising Monte Carlo method for light transport in the inverse problem of quantitative photoacoustic tomography
The workshop is concluded by lunch at DTU: For registration, please send an email to Kim Knudsen kiknu@dtu.dk