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

Helsinki #InverseProblems Summer School 2019, Summer School on Very Finnish Inverse Problems, University of Helsin… twitter.com/i/web/status/1…

Yi-Hsuan Lin from University of Jyväskylä talking in the inverse problems seminar at University of Helsinki.… twitter.com/i/web/status/1…

Hiilidioksidipäästöjen mittaamisessa satelliitit tulevat olemaan aivan keskeisiä; @kjtamminen, @JanneHakkarainetwitter.com/i/web/status/1…

Avoin yleisöluento viipalekuvantamisesta 12.12.2018 Aalto-yliopiston Töölön kampuksella. Puhuja: professori… twitter.com/i/web/status/1…