Rate My Professor Stephen Suryasentana

University of Strathclyde

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5.08/20/2025

Inspires curiosity and a thirst for knowledge.

5.04/30/2025

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About Stephen

Dr Stephen Suryasentana is a Chancellor’s Fellow and Senior Lecturer in the Department of Civil and Environmental Engineering at the University of Strathclyde, where he leads the AutoGeo Lab. He earned his DPhil in Engineering Science from the University of Oxford in 2019, with a thesis titled 'Time-critical design methods for suction caisson foundations.' He also holds a BEng in Civil Engineering with First Class Honours from the University of Western Australia in 2012, for which he received the Faculty of Engineering, Computing and Mathematics Medal, and a BBA from the National University of Singapore. Before joining Strathclyde, he served as a Junior Research Fellow at Wolfson College, Oxford, starting in December 2018, and gained direct working experience in the offshore and mining industries.

Suryasentana's research centres on developing innovative offshore geotechnics solutions to support the digitalisation age, including AI-driven modelling tools and novel sensor-based solutions for offshore ground modelling, site investigation planning, foundation design optimisation, and installation risk management. His expertise spans machine learning applications in geotechnical engineering, such as LLM-based agent modelling, physics-informed machine learning, and multi-fidelity data fusion, as well as offshore soil-structure interaction, including analytical models for monopiles and suction caissons, finite element modelling, and convex constitutive modelling. He has published extensively in top journals, with key works including 'Physics-informed machine learning in geotechnical engineering: a direction paper' (Geomechanics and Geoengineering, 2025), 'Enhancing CPT-based suction caisson penetration design: insights from back-analysis of large-scale field installation data' (Journal of Geotechnical and Geoenvironmental Engineering, 2025), 'Practical approach for data-efficient metamodeling and real-time modeling of monopiles using physics-informed multifidelity data fusion' (Journal of Geotechnical and Geoenvironmental Engineering, 2024), and 'Multifidelity data fusion for the estimation of static stiffness of suction caisson foundations in layered soil' (Journal of Geotechnical and Geoenvironmental Engineering, 2024). His accolades include the Wolfson College Junior Research Fellowship and the SUT OSIG Conference Best Poster and Presentation Award in 2017. As principal investigator on projects like 'Pressure cycling control on flow and soil deformation for suction caisson installation' and 'iDrive: Intelligent Drivability Forecasting for Offshore Wind Turbine Monopile Foundations,' and co-investigator on others supporting offshore renewables, his contributions advance UN Sustainable Development Goals 7 and 13. He supervises PhD students and participates in international conferences.