Stephen Suryasentana
مدرس ارشد · Machine Learning in Geotechnical Engineering
University of Strathclydeمعرفی
Dr. Stephen Suryasentana is a Senior Lecturer in the Department of Civil and Environmental Engineering within the Faculty of Engineering at the University of Strathclyde. He joined Strathclyde in 2020 as a Chancellor's Fellow (Lecturer) after completing a Junior Research Fellowship at Wolfson College, Oxford. His research focuses on developing innovative offshore geotechnics solutions for the digital age, particularly applying AI-driven modeling tools and sensor-based solutions to improve decision-making in offshore engineering.
His educational background includes a Doctor of Philosophy from Oxford University (awarded July 13, 2019) on "Time-critical design methods for suction caisson foundations" and a First Class Honors Bachelor of Engineering in Civil Engineering from the University of Western Australia (awarded December 31, 2012).
Dr. Suryasentana's research interests span two primary domains:
- Machine learning applications: Bayesian Optimization, Physics-informed Machine Learning, and Multi-fidelity data fusion for geotechnical engineering problems
- Offshore soil-structure interaction: Development of analytical models for offshore foundations, Finite element modeling of soil-structure interaction, and Convex constitutive modeling
His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional geotechnical engineering, particularly for offshore wind turbine foundation design. The research spans from fundamental soil mechanics investigations to practical applications of machine learning for real-time modeling and risk assessment in offshore environments.
His notable awards include:
- Wolfson College Junior Research Fellowship (December 2018)
- SUT OSIG Conference: Best Poster and Presentation Award (2017)
Dr. Suryasentana actively supervises research students and has secured multiple research grants, including as Principal Investigator for projects related to suction caisson installation, offshore wind turbine monopile foundations, and digital twin technology for risk assessment. He maintains the AutoGeoLab (http://www.autogeolab.com) where his research team develops and tests innovative geotechnical solutions.
