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Department of Mathematics

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Events in the Department of Mathematics

Find out more about events, seminars and public lectures in the Department of Mathematics.

NASC-SQUIDS Joint Seminar: Parameter estimation for weakly interacting hypoelliptic diffusions

12:00 - 13:00 13 November 2026

Speaker: Yuga Iguchi (Lancaster) Abstract: I will discuss mean-field-type stochastic differential equations (SDEs) and the estimation of their unknown parameters from discretely observed trajectories. These models describe systems of N weakly interacting particles, each governed by an SDE, with a possibly degenerate diffusion matrix. A central...

Dynamical Systems and Analysis Seminar - Valentina Disarlo

14:00 - 16 November 2026

Speaker: Valentina Disarlo (University of Manchester) Title: The geometry of the saddle connection graph Abstract: For a half-translation surface, its saddle connection graph has saddle connections as vertices, and edges connecting pairs of non-crossing saddle connections. It can be seen as a subgraph of the arc graph of the underlying topological...

Mathematics of Waves and Materials Seminar - D. Prikazchikov

15:00 - 16 November 2026

Title: Propagating and evanescent modes in high-contrast laminates Abstract: The talk will focus on the effects of strong inhomogeneity on the mechanical response of thin elastic layered structures. We will discuss the behaviour of the lowest cut-off frequencies, as well as end effects in semi-infinite laminates, highlighting the delicate interplay...

Heilbronn Algebra Seminar - Lewis Topley: Quantizations of coadjoint orbit closures in positive characteristics

14:00 - 15:00 17 November 2026

Title: Quantizations of coadjoint orbit closures in positive characteristics Abstract: If g = Lie(G) is the Lie algebra of an algebraic group over a field of characteristic zero then the closures of coadjoint orbits are Poisson varieties and it is natural and interesting to study their quantizations. Losev showed that when G is simple the quantizations...

Maths education seminar: Holly Barker and Simon Fairfax on Peer learning in UG maths

12:00 - 17 November 2026

Speaker: Holly Barker (University of Manchester) and Simon Fairfax (University of Liverpool) Title: Peer learning in UG maths; our experience building a community of practice and insights into current work. Abstract: How can we support students to learn from each other, and support staff to do the same? In this talk we’ll share our experiences...

Logic Seminar - Paul Levy

15:00 - 16:00 18 November 2026

Speaker: Paul Levy (University of Birmingham) TBA

Probability Seminar: Yifan Jiang

15:00 - 16:00 18 November 2026

Yifan Jiang (Imperial) will speak at the Probability seminar. Title: Adapted Wasserstein distance between scalar fractional SDEs Abstract: In this talk, I will discuss two approaches to compute the adapted Wasserstein distance between fractional SDEs. The first approach uses the canonical representation of Gaussian processes and reformulates...

Statistics Seminar - Mu Niu (University of Glasgow)

14:00 - 15:00 18 November 2026

Title: Learning Geometry from Data: An Intrinsic Diffusion Approach to Generative Modelling Abstract: Many modern datasets, including images, remote sensing measurements, and biomedical data, are high-dimensional but often concentrate near lower-dimensional manifolds with complex non-Euclidean geometry. Ignoring this geometric structure can limit...

Training course on advanced scripting and batching of tomographic datasets

18 - 19 November 2026

Although X-ray tomography is an attractive characterisation technique in materials science, it generates a huge amount of data at a fast rate and it can be extremely time consuming to process the data manually. A great benefit to creating scripts and plugins in Avizo is the ability to reuse a workflow on more than one image or to develop a bespoke...

Dynamical Systems and Analysis Seminar - Rhiannon Dougall

14:00 - 23 November 2026

Speaker: Rhiannon Dougall (Durham University) Title: Relative tau, Expanders, and decay of correlations for certain expanding maps Abstract: Expander graphs are characterized as being "highly connected". Another way think about this is: a sequence of k-regular expander graphs have fast mixing for the simple random walk. We see this phenomena...