🌊🔬 Advancing Coastal Resilience with Machine Learning and Eco Engineering! 🌱📈
“Advancing wave overtopping prediction at eco-engineered seawalls: Integrating laboratory experiments and machine learning.”
In this innovative study, Md. Habib combined laboratory-scale tests and advanced machine learning techniques to evaluate how eco-engineered seawalls—featuring textured tiles (mimicking natural topography)—reduce wave overtopping compared to traditional designs.
✅ Key Findings:
• Eco-engineered seawalls significantly decreased overtopping rates by up to 75%.
• Gradient Boosted Decision Trees (GBDT) outperformed other models, providing highly accurate predictive capabilities.
• Developed simplified predictive equations using Genetic Programming for practical engineering applications.
🌍 This research supports more resilient coastal infrastructures, enhancing climate adaptation efforts and biodiversity.
Read the full paper here: https://www.sciencedirect.com/science/article/pii/S0029801825019687?via%3Dihub
EHCR Lab UCD 
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