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Krylov methods have played and continue to play a critical role in the development of iterative techniques for solving inverse problems that arise in many important imaging applications such as image deblurring and tomographic reconstruction. This minisymposium will highlight recent developments on Krylov methods for large-scale inverse problems, data assimilation and uncertainty quantification.