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Laing O'Rourke Centre for Construction Engineering and Technology

 

GeoTech 2025 will bring together the geotechnical community for a new flagship event focused on innovation, digital transformation, and the future of ground engineering. Taking place on 2 October 2025 at The Kia Oval, London, the conference will explore how emerging technologies are reshaping practice and driving smarter, more sustainable outcomes.

Dr Brian Sheil will deliver the keynote address, titled “The Digital Revolution in UK Geotechnics: Embracing AI, Automation, and Data-Driven Decision-Making.” His presentation will explore how emerging digital technologies are transforming the geotechnical landscape. The keynote will highlight how artificial intelligence, automation, and advanced data analytics are enabling more efficient, accurate, and cost-effective decision-making across the geotechnical lifecycle, from site investigation and design to construction and asset management.

GeoTech 2025 marks the launch of an exciting new conference and awards programme designed to showcase transformative solutions, breakthrough innovations, and forward-thinking approaches that improve cost efficiency, reduce carbon impact, and boost productivity across the sector. This must-attend event will bring together industry leaders, innovators, researchers, and practitioners to share insights and shape the next chapter of geotechnical engineering.

Adding to the cutting-edge agenda, John Hopkins, a Construction Engineering Masters student, will present his research on the integration of machine learning with piling operations. His presentation, “Unlocking Subsurface Insights: Machine Learning Meets CFA Piling Rig Telemetry Data,” will demonstrate how real-time telemetry data from Continuous Flight Auger (CFA) piling can be harnessed to enhance stratigraphic profiling and optimise pile installation.

While current telemetry systems are typically used to verify basic parameters such as pile length and concrete volume, Hopkins’ work explores how torque, penetration rate, and crowd force data can reveal subsurface transitions and support real-time decision-making during installation.

Read the GeoTech 2025 programme

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