Photo of Stephen Suryasentana
  • United Kingdom

Accepting PhD Students

20142020

Research output per year

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Personal profile

Personal Statement

I joined Strathclyde in 2020 as a Chancellor's Fellow (Lecturer) and my research is focused on leveraging cutting-edge probabilistic machine learning techniques to develop intelligent modelling tools to automate and improve the decision-making process involved in geotechnical foundation design (especially for offshore renewable structures such as offshore wind turbines). 

The overall aim is to develop an 'autonomous digital assistant' that helps geotechnical engineers work smarter and faster (especially for large-scale projects such as offshore wind farms), thereby improving engineering productivity, design reliability and reproducibility. 

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 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)
  • Uncertainty Quantification

Offshore soil-structure interaction:

  • Development of simplified design methods for foundations
  • High-fidelity numerical 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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Research Output

Assessment of numerical procedures for determining shallow foundation failure envelopes

Suryasentana, S. K., Dunne, H. P., Martin, C. M., Burd, H. J., Byrne, B. W. & Shonberg, A., 30 Jan 2020, In : Géotechnique. 70, 1, p. 60-70 11 p.

Research output: Contribution to journalArticle

Open Access
File
  • 3 Citations (Scopus)
    1 Downloads (Pure)

    A systematic framework for formulating convex failure envelopes in multiple loading dimensions

    Suryasentana, S. K., Burd, H. J., Byrne, B. W. & Shonberg, A., 30 Apr 2020, In : Geotechnique. 70, 4, p. 343-353 11 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 1 Citation (Scopus)
    2 Downloads (Pure)

    Prizes

    SUT OSIG Conference: Best Poster and Presentation Award

    Suryasentana, Stephen (Recipient), 2017

    Prize: Prize (including medals and awards)

    Wolfson College Junior Research Fellowship

    Suryasentana, Stephen (Recipient), Dec 2018

    Prize: Fellowship awarded competitively

    Activities

    • 1 Visiting an external academic institution

    Oxford University

    Stephen Suryasentana (Visiting researcher)

    1 Jul 20201 Jan 2021

    Activity: Visiting an external institution typesVisiting an external academic institution