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Evan Ricketts  MMath, PhD, FHEA

Evan Ricketts

MMath, PhD, FHEA

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Available for postgraduate supervision

Teams and roles for Evan Ricketts

Overview

My current research focuses on the numerical modelling of heterogeneous materials, with particular interest in stochastic methods and random field theory. Interests include

  • Numerical methods
  • Random field theory
  • Plurigaussian simulation
  • Soil mechanics
  • Stochastics
  • Theory of acoustic-gravity waves
  • Machine learning
  • Multi-level modelling
  • Flow in porous media

Publication

2025

2024

2023

Articles

Conferences

Thesis

Teaching

I am module lead for:

  • EN3301: Digital and Computational Architectural, Civil, and Environmental Engineering
  • EN4302/T603: Finite element theory and practice

I also supervise BEng/MSc dissertations and help with the field trip in Year 2

 

Supervisions

I welcome enquiries from prospective PhD students interested in computational mechanics and scientific machine learning applications to heterogeneous porous media. I am particularly keen to supervise projects addressing:

  • Unfitted finite element methods for complex geometries
  • Adjoint methods for optimisation problems
  • Stochastic characterisation of material heterogeneity
  • Stochastic methods for microstructural generation
  • Physics-informed machine learning for porous media
  • Sustainable geomaterials

Prospective students should have a strong background in computational mechanics, applied mathematics, or related engineering disciplines. Experience with finite element methods, scientific programming (Python/MATLAB), and machine learning frameworks would be advantageous.

Contact Details

Email [email protected]

Campuses Queen's Buildings - South Building, Room 0.20, 5 The Parade, Newport Road, Cardiff, CF24 3AA

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