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Personal profile

Personal Statement

Homepage : http://personal.strath.ac.uk/a.ramage/

My main expertise lies in numerical linear algebra, which is a vital component of scientific computation that impacts strongly on a wide range of disciplines in academia and in technology-based industries. Specifically, it involves the design and analysis of algorithms and software for the basic matrix operations which underpin most technical computing applications. My particular focus is on developing efficient solution methods for numerical models of partial differential equations,  wth a primary interest in preconditioning linear solvers.

Having graduated from the University of St Andrews, I completed a PhD at the University of Bristol (under the supervision of Dr A. Wathen) on preconditioning for Galerkin finite element equations, and I have worked on preconditioners and fast solvers for a large part of my career. My early work, beginning with postdoctoral research funded by EPSRC and Nuclear Electric plc, was primarily in the area of computational fluid dynamics, working on solving Navier-Stokes and convection-diffusion equations. My work has always been highly motivated by practical applications and since arriving at the University of Strathclyde I have continued that theme, with projects in, for example, modelling soil-structure interaction and tunnelling in geotechnical engineering, option pricing in financial mathematics and liquid crystal displays. This research has frequently involved working with industrial partners such as Oasys Ltd (the software house of Arup) and Hewlett-Packard. I have long-standing collaborations with researchers in the United States and Sweden, as well as ongoing projects with colleagues in academia and industry in the UK. This has been enabled in part by the award of Research Fellowships from the Leverhulme Trust (in 1999, to enable a sabbatical year spent working with Professor Howard Elman at the University of Maryland) and EPSRC (in 2005, a Springboard Fellowship with Hewlett-Packard for liquid crystal device modelling). I have also obtained several research grants to support PhD students and postdoctoral researchers.

More recently, I have also become interested in the application of linear algebra to modern challenges in data analysis. This led to the award of a second Leverhulme Research Fellowship in 2017/18 to support a project to develop multilevel preconditioning for data assimilation problems in numerical weather forecasting. I plan to extend this research to other modern sensor networks in applications such as Future Cities.

Education/Academic qualification

Doctor of Philosophy, University of Bristol

Bachelor of Science, University of St Andrews

Fingerprint Dive into the research topics where Alison Ramage is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Liquid Crystal Mathematics
Liquid crystals Engineering & Materials Science
Discretization Mathematics
Linear systems Engineering & Materials Science
Preconditioner Mathematics
Tensors Engineering & Materials Science
Partial differential equations Engineering & Materials Science
Convection-diffusion Equation Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 1999 2020

Mathematical criminology and crime science

Ramage, A. & Wilson, S.

1/09/17 → …

Project: Knowledge Exchange (Conference / Seminar Hosting)

Data Science Tools for Uncertainty Quantification - Tadas Kirkstanacicius Studentship Agreement

Higham, D. & Ramage, A.

NPL Management Limited

1/10/1529/02/20

Project: Research - no external fundingResearch (No External Funding)

Research Output 1994 2016

  • 32 Article
  • 5 Working paper
  • 2 Conference contribution book
  • 1 Patent
1 Citation (Scopus)

A multilevel approach for computing the limited-memory Hessian and its inverse in variational data assimilation

Brown, K. L., Gejadze, I. & Ramage, A., 28 Sep 2016, In : SIAM Journal on Scientific Computing. 38, 5, p. A2934-A2963 30 p.

Research output: Contribution to journalArticle

Open Access
File
Data Assimilation
Data storage equipment
Computing
Square root
Eigenvalue Decomposition
2 Citations (Scopus)

Computational fluid dynamics for nematic liquid crystals

Ramage, A. & Sonnet, A. M., 1 Jun 2016, In : BIT Numerical Mathematics . 56, 2, p. 1-14 15 p.

Research output: Contribution to journalArticle

Open Access
File
Nematic liquid crystals
Nematic Liquid Crystal
Computational Fluid Dynamics
Tensors
Computational fluid dynamics

Thesis

A multilevel approach for approximating the inverse Hessian in four-dimensional variational data assimilation

Author: Brown, K. L., 1 Apr 2015

Supervisor: Ramage, A. (Supervisor) & Knight, P. (Supervisor)

Student thesis: Doctoral Thesis

Efficient moving mesh methods for Q-tensor models of liquid crystals

Author: MacDonald, C., 1 Apr 2014

Supervisor: MacKenzie, J. (Supervisor) & Ramage, A. (Supervisor)

Student thesis: Doctoral Thesis

Activities 1990 2020

Mathematical Criminology and Crime Science

Alison Ramage (Organiser)
6 Jul 202010 Jul 2020

Activity: Participating in or organising an event typesParticipation in conference

GAMM Workshop on Applied and Numerical Linear Algebra

Alison Ramage (Keynote/plenary speaker)
26 Sep 201927 Sep 2019

Activity: Participating in or organising an event typesParticipation in conference