Mohamed Elrefaie

I am a PhD student at 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. We work closely with industry partners to tackle some of the most challenging problems in automotive and aerospace engineering.

If you're an undergraduate or master's student interested in this area of research, feel free to reach out!

Highlights

May 1, 2025

Three papers were accepted to IDETC-CIE 2025 in Anaheim, California, covering AI Design Agents, scalable datasets for engineering design, and a large-scale dataset for blended-wing body design.

Dec 5, 2024

Thrilled to see my recent work on DrivAerNet++ featured as a spotlight by MIT News! Proud to contribute to open science and innovation in engineering design.

Oct 20, 2024

DrivAerNet++ was awarded the MIT Prize for Open Data in recognition of its contribution to advancing accessible research

Sep 1, 2024

DrivAerNet++ has been accepted to NeurIPS 2024, the top-tier AI conference (Acceptance rate: 25.3%, with over 16,000 submissions this year)

Aug 20, 2024

DrivAerNet paper received the Paper of Distinction Award (out of 104 accepted papers) from The American Society of Mechanical Engineers at IDETC in Washington, D.C.