M1: Hybrid Medical Imaging
Chair: Simon Arridge (University College London (UCL), UK)
M2: Asymptotic Expansions
Chairs: Marc bonnet (ENSTA, France) and Houssem Haddar (INRIA Saclay Ile de France/CMAP Ecole Polytechnique, France)
M3: Inverse Source Problems
Chair: Masahiro Yamamoto (University of Tokyo, Japan)
M4: Applied Inverse Problems in Industry
Chairs: Peter Maass (University of Bremen, Germany) and Ronny Ramlau (RICAM, Austria)
Chairs: Ming Jiang (Peking University, People's Republic of China) and Bernadette Hahn (Saarland University, Germany)
M6: Inverse Spectral Problems
Chair: Paul Sacks (Iowa State University, USA)
Speakers in this mini symposium will present recent progress on the analysis of inverse problems in which the given data is connected to the spectrum of an associated differential operator.
M7: Regularisation Methods- Theory
Chairs: Jin Cheng (Fudan University, China) and Bernd Hofmann (TU Chemnitz, Germany)
A variety of new results have been published concerning variational and iterative regularisation. The aim of this mini symposium is to present and discuss some facets of the recent progress in regularisation theory for ill-posed operator equations formulated in Hilbert and Banach spaces.
M8: Inverse Problems in Cell Biology
Chair: Martin Burger (Muenster University, Germany)
M9: Physical Imaging
Chair: Dominique Lesselier (Laboratoire des Signaux et Systèmes (CNRS-SUPELEC-UPS), Gif-sur-Yvette, France)
Physical imaging is a multi-disciplinary approach for solving imaging problems which combines physical insight (reflected by carefully chosen mathematical models) with clever algorithmic development. The goal might be to determine the internal structure of a material, detect possible damage or describe some special feature or a form of disorganization from gathered data where one model parameter is the proper design of source and detector geometries. Good examples of such problems will be presented and discussed in this mini-symposium, where special emphasis is put on clarifying the close interplay between computational treatment of the underlying physics (including model selection), data processing and efficient image reconstruction algorithms.
M10: Inverse Scattering
Chair: Houssem Haddar (INRIA Saclay Ile de France/CMAP Ecole Polytechnique, France)
M11: Inverse Problems for Wave Phenomena
Chair: Sergey Kabanikhin (Novosibirsk State University, Russia)
M12: Inverse Boundary Problems
Chairs: Jennifer Mueller (Colorado State University, USA) and Bill Lionheart (University of Manchester, UK)
M13: Regularisation Methods- Algorithms
Chair: Barbara Kaltenbacher (Alpen - Adria Universitaet Klagenfurt, Austria)
The treatment of large scale inverse problems, e.g., in the context of PDE models, and the use of sophisticated regularization terms for incorporating prior knowledge, e.g., on sparsity of the solution or on the structure of the noise, pose new algorithmic challenges to regularisation methods. Discretizations have to reflect the features of the underlying infinite dimensional spaces and non-smoothness of the operators as well as non-reflectivity of the underlying spaces render a convergence analysis of iterative methods a difficult task. In this mini symposium we aim to present and discuss recent activities in the field of computational methods for inverse problems.
M14: Identification Problems using PDEs
Chairs: Elena Beretta (Politecnico di Milano, Italy) and Elisa Francini (Universita' di Firenze, Italy)
M15: Compressive Sensing
Chair: Jared Tanner (University of Oxford, UK) and Thomas Blumensath (University of Southampton, UK)
M16: Seismic Imaging
Chair: Tarek Habashy (Schlumberger-Doll Research, USA)
The scope of this mini-symposium covers a balanced presentation of the many facets of seismic imaging, highlighting the various methodologies and applications in the field of geophysical exploration and seismology.
M17: Inverse Problems in Astronomy
Chair: Mario Bertero (University of Genoa, Italy)
M18: Inverse Statistical Methods
Chairs: Tanja Tarvainen (University of Eastern Finland, Finland and UCL, UK) and Jari Kaipio (University of Auckland, New Zealand and University of Eastern Finland, Finland)