Showcasing GCG’s expertise at ISFOG 2025: Over the next few posts, we’ll be highlighting the research and papers presented by our team members.
First, we are proud to feature a paper by our Senior Geotechnical Engineer Dr Amandine Brosse, entitled “Using Machine Learning Clustering Techniques as a Support for Optimizing the Laboratory Testing Campaign of an Offshore Wind Farm”, with co-authors Nicholas Christopher, Andy Barwise, and Pooyan Ghasemi of RWE, and Serena Che, Frankie Lo, and Felix Schroeder of GCG. Her paper explores how clustering algorithms can improve the efficiency of geotechnical laboratory campaigns for offshore wind farms. By utilizing basic geotechnical data from fieldwork, the study employs K-means and Gaussian Mixture Models to identify groups of similar materials within a geological formation, which can help with the selection of representative samples for more advanced testing. The paper findings highlight both the promise and practical considerations of integrating open-source Python clustering tools into early site-characterization workflows.
Additionally, Amandine is looking forward to chairing the parallel session on Machine Learning during the conference, fostering discussions on the future of technology in our industry.
