Mon, 23 Feb 2026

16:30 - 17:30
L4

TBA

Fabio Ancona & Elio Marconi (*)
(University of Padova)
Abstract

TBA

Mon, 16 Feb 2026

16:30 - 17:30
L4

TBA

David Gomez-Castro
(UAM)
Abstract

TBA

Mon, 09 Feb 2026

16:30 - 17:30
L4

Scattering and Asymptotics for Critically Weakly Hyperbolic and Singular Systems

Arick Shao
(Queen Mary University of London)
Abstract

We study a very general class of first-order linear hyperbolic
systems that both become weakly hyperbolic and contain singular
lower-order coefficients at a single time t = 0. In "critical" weakly
hyperbolic settings, it is well-known that solutions lose a finite
amount of regularity at t = 0. Here, we both improve upon the analysis
in the weakly hyperbolic setting, and we extend this analysis to systems
containing critically singular coefficients, which may also exhibit
modified asymptotics and regularity loss at t = 0.

In particular, we give precise quantifications for (1) the asymptotics
of solutions as t approaches 0, (2) the scattering problem of solving
the system with asymptotic data at t = 0, and (3) the loss of regularity
due to the degeneracies at t = 0. Finally, we discuss a wide range of
applications for these results, including weakly hyperbolic wave
equations (and equations of higher order), as well as equations arising
from relativity and cosmology (e.g. at big bang singularities).

This is joint work with Bolys Sabitbek (Ghent).

Mon, 08 Dec 2025

16:30 - 17:30
L5

TBA

Shengwen Wang
(Queen Mary University of London)
Abstract

TBA

Thu, 20 Nov 2025

12:00 - 13:00
C5

TBA

Ewelina Zatorska
(University of Warwick)
Abstract

TBC

Computing multiple solutions of systems of nonlinear equations with deflation
Farrell, P
Tue, 27 Jan 2026
12:30

TBA

Jasper Knox
Abstract

WCMB, University of Oxford and University of Bristol

Tue, 24 Feb 2026
12:30

TBA

Emma Bouckley
Abstract

University of Cambridge

Her-AI is a new after-school outreach initiative supported by Oxford University and based in South London. It is designed to inspire and equip girls in grades 9-11 from diverse backgrounds to explore pathways into artificial intelligence (AI) and computer science. The programme combines hands-on workshops, mentorship from Oxford students and researchers, and immersive experience days in Oxford.

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