Giorgos Efrem

Exploring Geometric Deep Learning approaches such as Graph Neural Networks and Implicit Neural Representations for surrogate modeling of external aerodynamic flow fields. Incorporating physics-enhanced learning strategies to improve prediction accuracy in nonlinear aerodynamic flow regimes. Investigating graph and point-cloud discretization strategies to mitigate spectral bias, improving the resolution of high-frequency input features in geometric deep learning models.