Dr Stephen Suryasentana

Strathclyde Chancellor's Fellow

Civil and Environmental Engineering

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:



See http://www.autogeolab.com for latest studentship opportunities.


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.



Automated procedure to derive convex failure envelope formulations for circular surface foundations under six degrees of freedom loading
Suryasentana Stephen K, Burd Harvey J, Byrne Byron W, Shonberg Avi
Computers and Geotechnics Vol 137 (2021)
A Winkler model for suction caisson foundations in homogeneous and non-homogeneous linear elastic soil
Suryasentana Stephen, Burd Harvey J, Byrne Byron W, Shonberg Avi
Géotechnique (2020)
Machine learning to inform tunnelling operations : recent advances and future trends
Sheil Brian B, Suryasentana Stephen K, Mooney Michael A, Zhu Hehua
Proceedings of the Institution of Civil Engineers – Smart Infrastructure and Construction (2020)
Assessment of anomaly detection methods applied to microtunneling
Sheil Brian B, Suryasentana Stephen K, Cheng Wen Chieh
Journal of geotechnical and geoenvironmental engineering Vol 146 (2020)
Comparison of machine learning models in a data-driven approach for scalable and adaptive design of laterally-loaded monopile foundations
Suryasentana S K, Burd H J, Byrne B W, Aghakouchak A, Sørensen T
International Symposium on Frontiers in Offshore Geotechnics International Symposium on Frontiers in Offshore Geotechnics (2020)
A systematic framework for formulating convex failure envelopes in multiple loading dimensions
Suryasentana Stephen K, Burd Harvey J, Byrne Byron W, Shonberg Avi
Geotechnique Vol 70, pp. 343-353 (2020)

More publications

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

Professional activities

Oxford University
Visiting researcher

More professional activities


Civil and Environmental Engineering
James Weir Building

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