MAC-MIGS-Amsterdam/Utrecht Workshop on Scientific Computation, Statistics and PDEs

1st May 2024


MAC-MIGS-Amsterdam/Utrecht Workshop on Scientific Computation, Statistics and PDEs


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.

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:

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