Mohamed Elrefaie

According to our database, Mohamed Elrefaie authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation.

Mohamed Elrefaie, Dule Shu, Matthew Klenk, Faez Ahmed

CoRR, May, 2026

2025

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

Mohamed Elrefaie, Dule Shu, Matt Klenk, Faez Ahmed

CoRR, December, 2025

BlendedNet++: A Large-Scale Blended Wing Body Aerodynamics Dataset and Benchmark.

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

CoRR, December, 2025

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

Parsa Vatani, Mohamed Elrefaie, Farhad Nazarpour, Faez Ahmed

CoRR, September, 2025

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

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

CoRR, September, 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

CoRR, March, 2025

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

Qian Chen, Mohamed Elrefaie, Angela Dai, Faez Ahmed

CoRR, March, 2025

2024

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

Mohamed Elrefaie, Angela Dai, Faez Ahmed

CoRR, 2024

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

Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Deep Learning-Based Prediction of Aerodynamic Performance for Airfoils in Transonic Regime.

Tarek Ayman, Mayar A. Elrefaie, Eman Sayed, Mohamed Elrefaie, Mahmoud Ayyad, Ahmed A. Hamada, Mohamed Madhouly Abdelrahman

Proceedings of the 5th Novel Intelligent and Leading Emerging Sciences Conference, 2023