Forthcoming Seminars

Please note that the list below only shows forthcoming events, which may not include regular events that have not yet been entered for the forthcoming term. Please see the past events page for a list of all seminar series that the department has on offer.

Past events in this series
2 April 2019
Various Speakers

Further Information: 

By Daniele Avitabile on Mar 04, 2019 09:38 pm

The ninth Mathematics in Life Sciences (MiLS) meeting will focus on "Multiscale modelling techniques and their applications in biology and medicine". It will take place on the 2nd of April 2019 from 11am to 4pm, at the University of Oxford. This is the first meeting organised in collaboration with our new members, Sarah Waters (University of Oxford), and  Alessia Annibale (King's College London).

The meeting will consist of two review talks aimed at non-experts, combined with several contributed research talks. The review talks will be given by Oliver Jensen (University of Manchester), and Patrick Farrell (University of Oxford).

Attendance to the meeting is free of charge, but we kindly ask you to register your intention to attend, by sending an email to

We solicit contributed talks and posters, especially from early career researchers and postgraduate students. If you are interested in giving a talk, please send a title and abstract to Sarah.Waters (waters [at] maths [dot] ox [dot] ac [dot] uk) and Daniele Avitabile (daniele [dot] avitabile [at] nottingham [dot] ac [dot] uk).

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26 April 2019
Federico Danieli and Christian Bick

How do you create a self-sustaining, flourishing academic community in a developing country? What kind of challenges need to be overcome to ensure that quality education becomes available? What can we do to help make it happen? In this talk, we will describe our experience visiting the University of Yangon in Myanmar. During the visit, we delivered a course to the academic staff, and discussed future collaborations between Oxford and Yangon, as well as further directions for Mathematical education in Myanmar, all the while marvelling at the wonders of the Burmese culture.

30 April 2019
Florian Klimm

In this seminar, I first discuss a paper by Aslak et al. on the detection of intermittent communities with the Infomap algorithm. Second, I present own work on the detection of intermittent communities with modularity-maximisation methods. 

Many real-world networks represent dynamic systems with interactions that change over time, often in uncoordinated ways and at irregular intervals. For example, university students connect in intermittent groups that repeatedly form and dissolve based on multiple factors, including their lectures, interests, and friends. Such dynamic systems can be represented as multilayer networks where each layer represents a snapshot of the temporal network. In this representation, it is crucial that the links between layers accurately capture real dependencies between those layers. Often, however, these dependencies are unknown. Therefore, current methods connect layers based on simplistic assumptions that do not capture node-level layer dependencies. For example, connecting every node to itself in other layers with the same weight can wipe out dependencies between intermittent groups, making it difficult or even impossible to identify them. In this paper, we present a principled approach to estimating node-level layer dependencies based on the network structure within each layer. We implement our node-level coupling method in the community detection framework Infomap and demonstrate its performance compared to current methods on synthetic and real temporal networks. We show that our approach more effectively constrains information inside multilayer communities so that Infomap can better recover planted groups in multilayer benchmark networks that represent multiple modes with different groups and better identify intermittent communities in real temporal contact networks. These results suggest that node-level layer coupling can improve the modeling of information spreading in temporal networks and better capture intermittent community structure.

Aslak, Ulf, Martin Rosvall, and Sune Lehmann. "Constrained information flows in temporal networks reveal intermittent communities." Physical Review E 97.6 (2018): 062312.


30 April 2019
Vlatko Vedral

I will review the idea that entanglement must ultimately be understood in terms of modes, rather than in terms of particles. The most striking instance of mode entanglement is a single particle entangled state, which I will discuss both in the case of bosons as well as in the case of fermions. I then proceed to show that the Aharonov-Bohm effect can be understood by using a single electron entangled state. Finally, I will argue that this demonstrates beyond doubt that the Aharonov-Bohm effect is non non-local, contrary to what is frequently claimed in the literature.


  • Quantum Field Theory Seminar


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