Programme
10.30 Coffee, registration, and online access opens at 10.45.
Online access:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_NGNiODg4ZjMtZWYxMy00YzIwLThkYjUtNjRlYjEzZTA2MDUy%40thread.v2/0?context=%7b%22Tid%22%3a%224ffa3bc4-ecfc-48c0-9080-f5e43ff90e5f%22%2c%22Oid%22%3a%2263e61e86-9780-470e-be89-5dcdd8728ac4%22%2c%22IsBroadcastMeeting%22%3atrue%7d&btype=a&role=a
10.55 Welcoming remarks, Jennifer Scott, Professor and Director at Reading, Mathematics of Planet Earth Centre for Doctoral Training
11.05 Invited Talk: Almut Veraart, Professor of Statistics, Imperial College London
Title: My journey into academia and a short introduction to Ambit Stochastics
Abstract: In this talk I am going to describe my journey into academia and give a short, non-technical introduction to the area of Ambit Stochastics.
The term Ambit Stochastics indicates a broad field of mathematical research with applications in a wide range of subject areas belonging to natural science, economics, and biology/medicine. Key examples of applications are to the modelling of turbulent flows, the modelling of financial energy markets and the modelling of biological growth. Ambit Stochastics deals with the study of random objects whose properties depend on time and spatial position (or any other type of variables). The variability in space and time is controlled through specific regions in space and time, the so-called ambit sets, and encompasses additional basic stochastic variation, the so-called intermittency/volatility. This approach is very general and comprises the basic idea of a causality cone in the past that is fundamental in physics. Accordingly, Ambit Stochastics has the potential to be applied in many fields of sciences where the variability at a certain point can be partly traced back to what happened in a region associated to this point. The initialising example for the application of Ambit Stochastics to real phenomena is turbulence. Over the past few years, a unifying modelling framework has been developed that is able to capture the main stylised features of turbulent flows. The mathematical research in this direction has matured to a stage where more extensive data acquisition, analysis and comparison is called for. This constitutes an exciting interplay between theory and experiment, typical for the development of the whole field of Ambit Stochastics.
11.40 Comfort Break
11.55 Invited Talk: Céline Maistret, Royal Society Dorothy Hodgkin Fellow, School of Maths, University of Bristol
Title: Elliptic curves and the Birch and Swinnerton-Dyer conjecture
Abstract: Number theory is the branch of mathematics concerned with studying numbers and solving equations. This talk will address the latter by introducing a particular set of equations which define objects called elliptic curves. Solving these equations has proven extremely difficult due to their complex mathematical structure. The quest for their solutions started over a century ago and reached a milestone in the 1960’s when Birch and Swinnerton-Dyer proposed a formula to find all their solutions. In this talk, I will present the Birch and Swinnerton-Dyer conjecture and explain how it allows to find all solutions.
12.30 Poster Blitz (Introductions for each poster)
Ruth Chapman, University of Exeter: Stochastic data adapted Atlantic Meridional Overturning Circulation box models
Lily Greig, University of Reading: Comparison of a simplified ERSEM to a full complexity model for the North-West European Shelf
Yu Kuang, non-affiliated: The Hermitian-Galois Module Structure of the Square Root
Evelyn Lira-Torres, Queen Mary University of London: Quantum Gravity and Riemannian Geometry on the Fuzzy Sphere
Marica Minucci, Queen Mary University of London: The Maxwell-Scalar Field System Near Spatial Infinity
Cathie Wells, University of Reading: Re-routing Transatlantic Flights to reduce CO2 Emissions
12.45 Lunch and poster session
13.50 Invited Talk: Hua Lu, Research Scientist (Atmosphere Ice and Climate), British Antarctic Survey, Cambridge
Title: How Maths Helped One to Become a Polar Researcher
Abstract: In this talk, I shall take you with me to go through my journey from a mathematician to a polar researcher. I will share with you the fun and cool moments being a research mathematician who uses equations, data, and statistics to tackle real world problems. I shall explain how maths has helped me to overcome challenges of having to move from one research field to another. I shall give you examples of why maths has formed the corner stone of my multi-disciplinary research. Because the environment topics that we face now-a-days so complex, dispersed and infused into various other disciplinary courses, I shall use my own experiences to demonstrate the value of working with people from different background and with different research expertise to ensure successful collaboration and project delivery.
14.25 Early Career Talks (3 x 15 minutes each)
Swinda Falkena, University of Reading: A Bayesian Approach to Regime Assignment
Lea Oljaca, University of Exeter: Measure and Statistical Attractors for nonautonomous Dynamical Systems
Farhana Pramy, The Open University: Properties of the Eigenfunctions of the SFS Operator with \alpha=0
15.10 Refreshment Break
15.25 Early Career Talks (2 x 15 minutes each)
Silvia Rognone, Queen Mary University of London: Characterisation of structures emerging from Random Colouring Processes on a Spatial Graph.
Erin Russell, University of Bristol: Playing with Fire: The Necessary Evil of Self-organized Criticality
15.55 Vote for best Early Career Presenter
16.00 Invited Talk: Renee Hoekzema, Postdoctoral Researcher, Mathematical Institute, University of Oxford
Title: Cutting and pasting in the 21st century
Abstract: Scissor’s congruence is a classical setup in mathematics that featured in one of Hilbert’s problems in 1900. It asks whether two polytopes can be obtained from one another through a process of cutting and pasting. In the 1970s this question was posed instead for smooth manifolds: which manifolds A and B can be related to one another by cutting A into pieces and gluing them back together to get B? Manifold cut-and-paste invariants describe when this is possible. In this talk I introduce this these ideas and describe recent work that ‘upgrades’ cut-and-paste invariants to spaces using the machinery from algebraic K-theory. This is joint work with Mona Merling, Laura Murray, Carmen Rovi and Julia Semikina.
16.35 Closing remarks and award for best poster