DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

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Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed

NeurIPS 2024 (MIT Research Spotlight)

DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Graph-Based Drag Prediction

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Mohamed Elrefaie, Angela Dai, Faez Ahmed

International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, (Awarded " ASME Papers of Distinction"), 2024

Real-time and on-site aerodynamics using stereoscopic piv and deep optical flow learning

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Mohamed Elrefaie, Steffen Hüttig, Mariia Gladkova, Timo Gericke, Daniel Cremers, Christian Breitsamter

Experiments in Fluids (Springer Nature), 2024

Surrogate modeling of the aerodynamic performance for airfoils in transonic regime

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Mohamed Elrefaie, Tarek Ayman, Mayar Elrefaie, Eman Sayed, Mahmoud Ayyad, Mohamed M AbdelRahman

AIAA SCITECH 2024 Forum, 2024