Inverse modelling and imaging are essential for visualizing objects and extracting hidden information from limited and indirect measurements, that might be noisy. For example, medical X-ray tomography reveals the 3D structure of a patient from 2D projection images. In environmental monitoring, atmospheric composition, like air pollution and greenhouse gases, are deduced from absorbed and scattered solar light measured by the satellites. In seismic imaging, the travel times of earthquakes are used to see structures in the core of the Earth. The solutions of these three problems use very similar mathematical inversion methods. The CoE of Inverse Modelling and Imaging is a unit consisting of applied mathematicians and mathematically oriented scientists with a history of active collaboration. The methodological and theoretical focus areas are nonlinear partial differential equations, geometry, and uncertainty quantification.
The Centre of Excellence consortium consists of the University of Helsinki, Aalto University, the University of Eastern Finland, the University of Jyväskylä, Lappeenranta University of Technology, the Finnish Meteorological Institute, the University of Oulu and Tampere University of Technology.
@InverseFinland

The Scientific Advisory Board of the Centre of Excellence in Inverse Modelling and Imaging meets today. Leader of t… twitter.com/i/web/status/1…

The Scientific Advisory Board of the Centre of Excellence in Inverse Modelling and Imaging meets today for the firs… twitter.com/i/web/status/1…

Christopher A. Wong from @RiceUniversity gave a talk on "Introduction to mathematics of #DeepLearning and applicat… twitter.com/i/web/status/1…

The University of Oulu team has invited Prof. David Colton, University of Delaware, to lecture the course "Topics i… twitter.com/i/web/status/1…