Stephen Suryasentana

Dr

  • United Kingdom

Accepting PhD Students

20142020

Research activity per year

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Personal profile

Personal Statement

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 climate change and the coming digitalisation age. This includes developing intelligent 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

 

Currently available PhD studentships

- A fully-funded ETP PhD studentship in collaboration with Ørsted to develop a statistical framework to integrate geophysical and geotechnical data for ground modelling of offshore wind farms. More details can be found in the findaphd link below:

https://www.findaphd.com/phds/project/fully-funded-industry-linked-rsted-phd-studentship-developing-novel-ways-to-integrate-geophysical-and-geotechnical-data-for-automated-ground-modelling-of-offshore-wind-farms/?p127364

 

- A fully-funded EPSRC PhD studentship to develop a low cost, modular sensor framework to de-risk suction caisson installation for offshore wind. More details can be found in the findaphd link below:

https://www.findaphd.com/phds/project/fully-funded-phd-studentship-development-of-low-cost-modular-sensors-to-de-risk-suction-caisson-foundations-for-offshore-wind/?p129159

 

Research Opportunities

I am currently accepting undergraduate/Masters final year project students and PhD applicants who are interested in working in the areas of Bayesian 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

Probabilistic machine learning:

  • Gaussian Process
  • Bayesian Changepoint detection
  • Markov chain Monte Carlo (MCMC)

Offshore soil-structure interaction:

  • Development of simplified design methods for foundations
  • Finite element modelling of soil-structure interaction
  • Thermodynamically-consistent soil constitutive modelling
  • Surrogate/Reduced-order modelling

Education/Academic qualification

Doctor of Philosophy, Oxford University

Award Date: 13 Jul 2019

Bachelor of Engineering, 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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