Vessel Design

Vessel design research focuses on optimizing vessel performance and safety across diverse applications, from underwater vehicles to ships and blood vessels. Current efforts leverage advanced machine learning techniques, including deep learning for physics-based simulations and surrogate modeling, as well as graph theory and recurrent neural networks for control and trajectory analysis. These advancements aim to improve efficiency, robustness, and safety in vessel design, impacting fields ranging from autonomous navigation to medical imaging and diagnostics. The development of efficient and accurate predictive models is a key driver of progress in this area.