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Personal profile

Personal Statement

Currently available PhD studentships

- A fully-funded PhD studentship to investigate the behaviour of suction caisson foundations under pressure cycling.

https://www.findaphd.com/phds/project/industry-linked-phd-studentship-investigation-of-suction-caisson-behaviour-under-pressure-cycling/?p159942

 

I joined Strathclyde in 2020 as a Chancellor's Fellow (Lecturer), and was previously a Junior Research Fellow at Wolfson College, Oxford. My research is focused on developing innovative offshore geotechnics solutions to prepare for the digitalisation age. This includes developing AI-driven modelling tools and novel sensor-based solutions to help engineers improve their decision-making in offshore ground modelling, site investigation planning, foundation design optimisation and installation risk management.

For more details (including past publications), please visit my lab website at http://www.autogeolab.com

Research Opportunities

I am currently accepting undergraduate/Masters final year project students and PhD applicants who are interested in working in the areas of machine learning in geotechnical engineering, offshore soil-structure interaction and automated ground modelling, amongst others (see list of research interests below). If you are interested in doing research with me, please contact me by email with your background and an outline of your proposed research topic.

 

Research Interests

Machine learning:

  • Bayesian Optimisation
  • Physics-informed Machine Learning
  • Multi-fidelity data fusion

Offshore soil-structure interaction:

  • Development of analytical models for offshore foundations
  • Finite element modelling of soil-structure interaction
  • Convex constitutive modelling

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 13 - Climate Action

Education/Academic qualification

Doctor of Philosophy, Time-critical design methods for suction caisson foundations, Oxford University

Award Date: 13 Jul 2019

Bachelor of Engineering, BEng in Civil Engineering (First class honours), University of Western Australia

Award Date: 31 Dec 2012

Keywords

  • Offshore wind turbine foundation
  • Offshore Floating Wind Turbines
  • Offshore Wind
  • Offshore Renewables
  • Machine Learning
  • Artificial Intelligence
  • Bayesian statistics
  • Geotechnical engineering
  • Site investigation
  • Sub surface Engineering
  • Soil mechanics
  • Geomechanics
  • Finite Element Analysis
  • Numerical Analysis
  • Data Analytics

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