IMA Conference on Inverse Problems from Theory to Application

Tuesday 19th – Thursday 21st September 2017

An inverse problem denotes the task of computing an unknown physical quantity from indirect measurements. The corresponding forward problem maps the physical quantity to the measurements. In most realistic situations the solution of the inverse problem is challenging, complicated by incomplete and noisy measurements, as well as non-invertible forward operators which render the inverse problem ill-posed (that is lack of stability and/or uniqueness of solutions). Inverse problems appear in many practical applications in biology, medicine, weather forecasting, chemistry, engineering, physics, to name but a few, and their analysis and solution presents considerable challenges in mathematics and statistics. This conference will bring together mathematicians and statisticians, working on theoretical and numerical aspects of inverse problems, and engineers, physicists and other scientists, working on challenging inverse problem applications. We welcome industrial representatives, doctoral students, early career and established academics working in this field to attend.

Conference topics:
Regularisation theory
Statistical inverse problems
Data assimilation
Inverse problem applications

Confirmed Invited Speakers:
Dr Marta M. Betcke (University College London)
Professor Dan Crisan (Imperial College London)
Professor Jari Kaipio (University of Auckland, New Zealand)
Professor Dirk Lorenz (TU Braunschweig, Germany)
Professor Bill Symes (Rice University)
Dr Tanja Tarvainen (University of Eastern Finland)

Organising Committee:
Carola‐Bibiane Schönlieb (Cambridge University) ‐ Chair
Cristiana Sebu (Oxford Brookes) – Co-chair
Paul Ledger (Swansea University)
Bill Lionheart (University of Manchester)

Scientific Committee:
Simon Arridge (University College London)
Martin Burger (University of Münster)
Daniela Calvetti (Case Western Reserve University)
Paul Childs
Barbara Kaltenbacher (University of Klagenfurt)
Roland Potthast (University of Reading)
Samuli Siltanen (University of Helsinki)
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