#### List of Mini-symposia

Minisymposium specifications PDF (draft)Book of abstracts PDF (draft)

M1 Computation of Interior Transmission Eigenvalues (Lechleiter, Sun) |

M2 Models and Methods for Hyperspectral Imaging (Burger, Schuster) |

M3 Statistical Inverse Problems and Applications (Werner, Dunker) |

M4 Optimization Approaches for Inverse Problems of Parameter Identification. (Khan, Tammer, Raciti) |

M5 Autoconvolution and related nonlinear ill-posed problems (Hofmann, Flemming) |

M6 Recent advances in the theory of regularization methods (Scherzer, Hofmann) |

M7 Current developments in tomography: from theory to algorithms (Frikel, Klann, Quinto) |

M8 Current developments in tomography: from algorithms to applications (Frikel, Klann, Quinto) |

M9 Inverse problems and big data (Kaasalainen) |

M10 Stochastic methods in imaging (Clason, Kazimierski-Hentschel) |

M11 Analytical aspects of regularisation: Higher-order and curvature-based approaches and further topics (Valkonen) |

M12 Inverse problems in space imaging (Delvit, Blanchet) |

M13 Discretization of Inverse Problems in Banach spaces (Kaltenbacher, Pöschl) |

M14 Aggregation and Joint Inversion. Challenges for Numerical Regularization Methods (Pereverzyev, Michel) |

M15 Regularisation Techniques for Joint Image Reconstruction Problems (Arridge, Burger) |

M16 Efficient Reconstruction Methods for Electrical Impedance Tomography and Inverse Scattering (Griesmaier, Hyvönen) |

M17 Inverse Source Problems in Engineering Applications (Mukanova, Hasanoglu) |

M18 Imaging through Complex Media (Garnier, Solna) |

M19 Inverse Transport and Optical Tomography (Machida) |

M20 Stability estimates for inverse problems (Isakov, Wang) |

M21 Reconstruction methods for inverse problems (Ikehata, Wang) |

M22 Quantitative estimates of unique continuation and applications to inverse problems (Di Cristo, Francini) |

M23 Sampling methods for high dimensional Bayesian inverse problems (Haario, Law) |

M24 Multifaceted perspective on regularization theory and its applications (Resmerita, Kindermann) |

M25 Efficient Methods for Large-Scale Inverse Problems in Imaging (Chung, Gazzola) |

M26 Theoretical perspectives in Bayesian inverse problems (Helin) |

M27 Reconstruction methods for 4D computed tomography (CT) (Kazantsev, Van Eyndhoven) |

M28 On the stability issue for inverse boundary value problems and applications (Beretta, Gaburro) |

M29 Priors and SPDEs (Roininen, Särkkä) |

M30 Imaging using light: from theory to application (Correia, Tarvainen) |

M31 Spectral Tomography: Models, Methods, and Applications (Andersen, Hansen) |

M32 Bayesian Computation (Lucka) |

M33 Inverse problems with applications in biology (Pietschmann, Schlottbom) |

M34 Recent Trends in Hybrid Tomography (Arridge, Betcke, Knudsen) |

M35 Inverse problems for hyperbolic PDEs (Oksanen) |

M36 Optimization methods for signal and image processing (Loris, Prato) |

M37 Inverse Problems in Non-destructive Testing (Ammari, Seppä nen, Soleimani) |

M38 Inverse Boundary Value Problems for Elliptic Systems (Chung, Salo) |

M39 Quantitative soft biological tissues imaging (Seppecher) |

M40 Optimising inversion models (De Los Reyes, Haber, Schönlieb) |

M41 Advances in Electrical Impedance Tomography imaging: Algorithms and Experimental Results (Hamilton) |

M42 Inverse Problems in Life Sciences (Calvetti, Somersalo) |

M43 Inverse problems in atmospheric remote sensing (Tamminen, Hilboll, King) |

M44 Qualitative Methods for Solving Inverse Problems (Triki, Bonnetier) |

M45 Integral Geometry (Stefanov, Monard) |

M46 Learning Subspaces (Fornasier, Naumova) |

M47 Inverse Problems in Optics (Bao, Li, Zou) |

M48 Recent developments on numerical inverse scattering problems (Li, Liu, Zou) |

M49 Plasmonics and CALR (Ola, Kang) |