SmartDATA Lab · Smart Diagnostics, Acoustics, and Time-Series Analysis

Physics & simulation projects

Machine-learning surrogates for computational fluid dynamics and physics simulation with the SmartDATA Lab at UF: neural operators, mesh-based networks, and physics-informed training.

Diagram of CFD surrogate modeling: high-fidelity solver snapshots and physics constraints train neural operators, mesh graph networks, and latent-dynamics models that produce fast predictions audited for stability and physical consistency.
Research · scientific ML · SmartDATA Lab

Learning surrogate models for computational fluid dynamics

Ph.D. research in the SmartDATA Lab: learned surrogates that stand in for expensive CFD solvers, judged on stability, physical consistency, and generalization.

Neural operatorsMesh graph networksPhysics-informed trainingLatent dynamics
Open project