Workshop in microlocal analysis

Date: 18 – 20 June 2018

Time: 10:00 – 17:00

Venue: The Alan Turing Institute

Organisers: Francis M Watson (Dstl), Sean Holman (University of Manchester), Marta Betcke (UCL)


Speaker biographies and abstracts

The event is now fully booked

A key consideration in inverse problems in imaging is whether sharp edges and other features of the image are faithfully recovered in the reconstruction process. To analyse this we must understand how such features appear in the data.  Microlocal analysis provides a theoretical framework for studying this propagation of sharp features in the image to the corresponding features in the data, and then the inversion of this process which occurs in the reconstruction. In particular, microlocal analysis can tell us in many cases what features of an object to be imaged are “visible” from a given data set, and whether more data will be required for faithful reconstruction.  It can also enable the design of practical computational tools.

This workshop will explore the application of microlocal analysis in a variety of large scale inverse problems, specifically aiming to be useful for industrial representatives working in areas that can benefit from the insights it provides. A particular application of interest will be multi-static Synthetic Aperture Radar, as well as other areas including seismic imaging, X-ray CT, and photo-and thermo-acoustic tomography.


Plamen Stefanov (Purdue University, US)

Cliff Nolan (University of Limerick)

Bill Symes (Rice University, US)

Maximilian Maerz (TU-Berlin)

Bill Lionheart (University of Manchester)

Kostas Zygalakis (University of Edinburgh)

Chris Stolk (University of Amsterdam)

Mike Antoniou (University of Birmingham)

Sarah Patch (University of Wisconsin-Milwaukee, US)

Martin Benning (University of Cambridge)

Andreas Hauptmann (UCL)