Publications
BlendedNet++: A Large-Scale Blended Wing Body Aerodynamics Dataset and Benchmark
Nicholas Sung, Steven Spreizer, Mohamed Elrefaie, Matthew C. Jones, Faez Ahmed
Preprint 2025
TripOptimizer: Generative 3D Shape Optimization and Drag Prediction using Triplane VAE Networks
Parsa Vatani, Mohamed Elrefaie, Farhad Nazarpour, Faez Ahmed
Physics of Fluids, 2025
CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics
Mohamed Elrefaie, Dule Shu, Matt Klenk, Faez Ahmed
Released Nov 2025
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
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
TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks
Qian Chen, Mohamed Elrefaie, Angela Dai, Faez Ahmed
Under Review, 2025
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)
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")
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
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