Aim:
The aim of the “Edinburgh-Amsterdam/Utrecht Workshop on Scientific Computation, Statistics, and PDEs” is to facilitate collaboration between PhD students and research groups at University of Utrecht, CWI in Amsterdam and the University of Edinburgh and Heriot-Watt University. The workshop will offer an opportunity for PhD students, postdocs and academics from Edinburgh, Amsterdam and Utrecht to learn about a wide spectrum of research topics covered by the four institutions in the broad area of applied, computational and statistical mathematics and to foster new collaborations. The focus of the workshop lies within the scope of MAC-MIGS (Edinburgh based Centre for Doctoral Training) and will cover a wide range of topics, e.g. mathematical modelling, scientific computing, machine learning, PDE analysis, uncertainty quantification, numerical analysis, etc.
Dates:
The first part of the workshop (1-3 May 2024) will take place in Edinburgh in the Bayes Centre.
The second part (4-6 September 2024) will take place in Amsterdam with details to be confirmed.
Local Accommodation
The ICMS has a good list of suggested hotels in the vicinity: https://www.icms.org.uk/local-accommodation
Organisers
Tristan van Leeuwen (Utrecht/Amsterdam), Mariya Ptashnyk, Aretha Teckentrup, Lehel Banjai
Edinburgh Workshop Timetable ( Wednesday 1st May, 12:30 start)
| Wednesday 1st May | Thursday 2nd May | Friday 3rd May |
| All talks in the morning in the ICMS Lecture Room (Hybrid) | All talks in Bayes Centre G.03 | |
| 9:00 – 9:40 Palina Salanevich
The phase retrieval problem: structure and randomness |
9:00 – 9:40 Lorenzo Pareschi
Asymptotic-preserving IMEX methods: bridging scales in multiscale PDEs |
|
| 9:40 – 10:20 Kees Oosterlee
Deep time-inconsistent portfolio optimization with stocks and options |
9:40 – 10:10 Karolina Benkova
Fast numerical solvers for PDE-constrained optimization in mathematical biology |
|
| 10:20 – 10:50 Coffee break (ICMS 5th Floor Bayes) | 10:20 – 10:50 Coffee break (Bayes Atrium – Ground Floor) | |
| 10:50 – 11:30 Benjamin Sanderse
Structure-preserving learning of neural closure models |
10:50 – 11:20 Liz Howell
Immune interactions and heterogeneity in transmission drives the pathogen-mediated invasion of grey squirrels in the UK |
|
| 11:30 – 12:10 Jannis Teunissen
Computational methods for the modeling of electric discharges |
11:20 – 11:50 Andrés Miniguano-Trujillo
A nonlocal PDE-constrained optimisation model for containment of infectious diseases |
|
| 12:10-12:40 Discussion | ||
| 12:30 – 13:30 Lunch (Bayes Atrium – Ground Floor) | 12:40 – 13:30 Lunch (ICMS 5th Floor Bayes) | 12:30 – Lunch and discussion (Bayes Atrium – Ground Floor) |
| All talks in the afternoon in Bayes Centre G.03 | All talks in the afternoon in Bayes Centre G.03 | |
| 13:30-14:10 Tristan van Leeuwen
Are you sure? Quantifying uncertainty in large-scale inverse problems |
13:30 – 15:00 Flash talks | |
| 14:10-14:50 Mariia Dvoriashyna
Mathematical modelling of fluid flow around the brain |
15:00 – 15:30 Coffee break (Bayes Atrium – Ground Floor) | |
| 14:50-15:20 Coffee break (Bayes Atrium – Ground Floor ) | 15:30 – Afternoon break/walk around Edinburgh | |
| 15:20-15:50 Rasheed Ibraheem
Data-driven Models for Battery Health Prognostics |
||
| 15:50-16:20 Jiaao Wang
Uncertainty Qualification and Information Geometry in the Contrastive Divergence Method of the Restricted Boltzmann Machine |
||
| 16:20-16:50 Maia Trower
Spectral Clustering of Directed and Time-Evolving Graphs |
||
| 16:50-17:20 Conor Moriarty-Osborne
Convergence analysis of non-stationary and deep Gaussian process regression |
||
| 17:30 – Reception |
Schedule for flash talks:
| Time | Speaker | Title |
| 13:30-13:40 | Marcos Obando | Reinforcement learning for adaptive single pixel image reconstruction |
| 13:40-13:50 | Yiming Xi | Diffusion models for Bayesian imaging |
| 13:50-14:00 | Brian Hennessy | Numerical Algorithms for nonlinear wave equations via Di Giorgi’s approach |
| 14:00-14:10 | Mohammad Tabish | Analyzing global behavior of data-driven dynamical systems |
| 14:10-14:20 | Abhijeet Minz | Generalised Lagrangian Mean |
| 14:20-14:30 | Zak Sattar | Geometric analysis of a Lotka-Volterra-type model for weak competition with a cut-off |