Mohamed Elrefaie

Publications

CarBench Visualization

CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics

Mohamed Elrefaie, Dule Shu, Matt Klenk, Faez Ahmed

Released Nov 2025

Paper Code Leaderboard
DrivAerNet++ Visualization

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

Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed

NeurIPS 2024 (MIT Research Spotlight)

Paper Code Dataset
AI Agents Visualization

AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design

Mohamed Elrefaie, Janet Qian, Raina Wu, Qian Chen, Angela Dai, Faez Ahmed

IDETC-CIE 2025

Paper
BlendedNet Visualization

BlendedNet: A Blended Wing Body Aircraft Dataset and Surrogate Model for Aerodynamic Predictions

Nicholas Sung, Steven Spreizer, Mohamed Elrefaie, Kaira Samuel, Matthew C. Jones, Faez Ahmed

IDETC-CIE 2025

Paper arXiv Dataset
TripOptimizer Visualization

TripOptimizer: Generative 3D Shape Optimization and Drag Prediction using Triplane VAE Networks

Parsa Vatani, Mohamed Elrefaie, Farhad Nazarpour, Faez Ahmed

Under Review, 2025

arXiv
TripNet Visualization

TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks

Qian Chen, Mohamed Elrefaie, Angela Dai, Faez Ahmed

Under Review, 2025

arXiv
DrivAerNet Visualization

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

Mohamed Elrefaie, Angela Dai, Faez Ahmed

IDETC-CIE 2024 (Awarded "ASME Papers of Distinction")

Paper arXiv Dataset
PIV Visualization

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

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

Experiments in Fluids (Springer Nature), 2024

Journal arXiv
Surrogate Modeling Visualization

Surrogate modeling of the aerodynamic performance for airfoils in transonic regime

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

AIAA SCITECH 2024 Forum

Paper Code