The school will consist of lectures and exercises arranged by leading experts within the field of inverse problems.
A preliminary version of the program is available here.
Sune Darkner (Website)
My main interests include Image Registration, Segmentation and Classification of Medical Image Data. I work with estimation of image similarity as my primary interest along with computational well-founded implementation. I strongly believe that the implementation of image processing algorithms should be thoroughly tested and reflect the theoretical properties as well as possible.
Professor Per Christian Hansen (Website)
My specialization is numerical analysis, numerical linear algebra, iterative reconstruction methods, and computational methods for inverse problems. My research lies within applied mathematics: theoretical analysis (e.g., perturbation theory and convergence analysis) goes hand in hand with practical development and implementation of robust, adaptive and efficient computational methods.
I hold a VILLUM Investigator grant which allows me build a new research initiative CUQI at DTU for Computational Uncertainty Quantification for Inverse Problems. The goal is to create a computational platform, suited for non-experts, to characterize and study how errors and uncertainties in the data and the mathematical models propagate to the computed solution to the inverse problem.
Senior Researcher Anna B. O. Jensen (Website)
Anna B. O. Jensen holds a position as Senior Advisor and team lead at DTU Space, and a part time position as Professor at KTH – Royal Institute of Technology in Sweden. She has a PhD in geodesy from the Niels Bohr Institute at Copenhagen University and has worked with consulting, research and teaching in Global Navigation Satellite Systems (GNSS) and geodesy for more than 20 years. Her specialization is algorithms for high accuracy GNSS positioning, and modelling of atmospheric effects on GNSS satellite signals. She is the current President of the Nordic Institute of Navigation.
Associate Professor Jeppe Revall Frisvad (Website)
Jeppe Revall Frisvadis an associate professor at the Technical University of Denmark (DTU). His research interests are mainly material appearance modelling, realistic rendering, and light scattering. As a highlight, his work includes the first directional dipole model for subsurface scattering. His research into material appearance has led to methods for computing optical properties, for their photographic measurement, and for their control in appearance printing.
Associate Professor Yvain Quéau (Website)
Yvain Quéau obtained his PhD in computer science from the University of Toulouse (France) in 2015. Since 2018 he is a CNRS junior researcher working with the Greyc laboratory (University of Caen, France). His research focuses on inverse problems arising in imaging and computer vision, and their numerical solving using variational methods. He is particularly interested in inverse problems involving light-matter interactions, e.g. 3D-reconstruction by photometric stereo, shape-from-shading, reflectance estimation, tomography and polarimetry.