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
Dec 3, 2025
TripOptimizer Accepted to Physics of Fluids
TripOptimizer: Generative three-dimensional shape optimization and drag prediction using triplane variational autoencoder networks.
Read Paper →Dec 3, 2025
BlendedNet++ Preprint Released
We have released the preprint for BlendedNet++ featuring 12,490 aerodynamic high-fidelity simulations.
Read Preprint →Nov 26, 2025
📢 Released CarBench
We’ve released CarBench: a unified benchmark for high-fidelity 3D car aerodynamics and generalization testing.
May 1, 2025
Three Papers Accepted to IDETC-CIE 2025
Covering AI Design Agents, scalable datasets for engineering design, and blended-wing body design.
Dec 5, 2024
MIT News Spotlight on DrivAerNet++
Thrilled to see my recent work on DrivAerNet++ featured as a spotlight by MIT News!
Read article →