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
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.
Three Papers Accepted to IDETC-CIE 2025
May 1, 2025Covering AI Design Agents, scalable datasets, and blended-wing bodies.
Selected Publications
CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics
Mohamed Elrefaie, Dule Shu, Matt Klenk, Faez Ahmed
Released Nov 2025
