Workshop on Recent Advances in

Iterative Reconstruction

22-23 May, 2023
66-72 Gower Street, UCL

Workshop Themes

Iterative methods are the predominant modern tool for a wide variety of optimisation paradigms. In recent decades they have been used across many problems in mathematics, engineering, machine learning, deep neural networks, and other problem modalities. The rapid increase in size and volume of modern datasets and improvements in data acquisition in engineering, demands development of scalable and fast methods that can be applied to an increasing body of problems. Parallel to this, there is a pronounced need for new analysis techniques to ensure reliability, and to understand behaviour and biases inherent to used tools and approaches. This workshop focuses on modern advances and insights in methods of iterative reconstruction and their applications in inverse problems.

The goal of this workshop is to bring together researchers working at the cutting edge of iterative optimisation in the UK and Europe, with a particular focus on applications in imaging inverse problems

Organisers