Paper published in the journal of Automation in Construction

12 June 2025

Our paper, “Generative AI-augmented offshore jacket design: Integrated approach for mixed tabular data generation under scarcity and imbalance”, has been published in the Journal of Automation in Construction.

Congrats Manolis!

In this work, we address key data challenges in engineering, such as scarcity, imbalance, and the complexity of mixed tabular data. We developed an integrated generative approach that combines deep learning with a multi-objective evolutionary algorithm, where structural simulations were used to guide the generation of realistic offshore jacket designs. The synthetic data we created significantly improved ML model performance in downstream prediction tasks, demonstrating the potential of generative AI to support engineering decision-making under real-world constraints.

 

The paper is open-access and available under this link