Mohamed Elrefaie
PhD Researcher | Mechanical Engineering & Schwarzman College of Computing, MIT
About
I am a PhD researcher at the Massachusetts Institute of Technology (MIT) in the Mechanical Engineering Department and the Schwarzman College of Computing. I hold a B.Sc. in Mechanical Engineering and an M.Sc. in Aerospace Engineering from the Technical University of Munich (TUM).
My research focuses on combining deep learning with computational and experimental fluid dynamics to develop foundation models for physics—AI systems that understand and simulate complex physical phenomena for use in engineering design.
Highlights
📢 Check out our latest paper on CarCrashNet & CrashSolver
May 10, 2026The first large-scale, high-fidelity diverse crash simulation dataset achieving SOTA full-vehicle crash prediction.
Read Preprint →TripOptimizer Accepted to Physics of Fluids
Dec 3, 2025TripOptimizer: Generative 3D Shape Optimization and Drag Prediction using Triplane VAE Networks.
Read Paper →BlendedNet++ Preprint Released
Dec 3, 2025Featuring 12,490 aerodynamic high-fidelity simulations.
Read Preprint →📢 Released CarBench
Nov 26, 2025A unified benchmark for high-fidelity 3D car aerodynamics.
Selected Publications
CarCrashNet: A Foundation Dataset for Diverse Car Crash Simulations
Mohamed Elrefaie, et al.
Preprint May 2026
CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics
Mohamed Elrefaie, Dule Shu, Matt Klenk, Faez Ahmed
Released Nov 2025
