Research foundation.
Our work builds on research in machine learning, computer vision, synthetic data, simulation, aeroelastic engineering and computational fluid dynamics. Selected publications by members of the DDS team and collaborators:
LES of a single-box bridge deck. Compression from 7,000:1 to 30,000:1.
Computer-Aided Civil and Infrastructure EngineeringOmar A. Mures, Miguel Cid MontoyaLine: Neural flow compression · applied in AeroFlowSymbolic Regression enabled prediction of flutter derivatives
Flutter derivatives of bridge decks.
Advances in Wind Engineering (Elsevier)Miguel Cid Montoya, Omar A. Mures et al.Line: Wind engineeringAeroelastic force prediction via temporal fusion transformers
Aeroelastic forces.
Computer-Aided Civil and Infrastructure EngineeringMiguel Cid Montoya, Ashutosh Mishra et al.Line: Wind engineeringSDF-biased flow importance sampling for implicit neural compression of flow fields
Flow-field sampling for neural compression.
Computer-Aided Civil and Infrastructure EngineeringOmar A. Mures, Miguel Cid Montoya et al.Line: Neural flow compressionSynthetic datasets with controlled generation. Presented at SIGGRAPH Asia 2025.
IEEE Computer Graphics and ApplicationsOmar A. Mures, Manuel Silva et al.Line: Synthetic dataExploring the effects of synthetic data generation: autonomous driving for semantic segmentation
Semantic segmentation for autonomous driving.
The Visual Computer (Springer)Manuel Silva, Antonio Seoane et al.Line: Synthetic data