Scholar
Mohamed Elrefaie
Google Scholar ID: O1iwnkQAAAAJ
Massachusetts Institute of Technology
Citations & Impact
Citations
93
H-index
6
i10-index
2
Publications
11
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Publications: DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks (NeurIPS 2024); AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design (IDETC-CIE 2025); Real-time and on-site aerodynamics using stereoscopic piv and deep optical flow learning (Experiments in Fluids, 2024); Awards: DrivAerNet++ awarded the MIT Prize for Open Data; DrivAerNet paper received the Paper of Distinction Award from The American Society of Mechanical Engineers at IDETC.
Research Experience
- Work Experience: Research at MIT; Research Projects: Developing foundation models that combine deep learning with physics to understand and simulate complex physical phenomena for use in engineering design; Position: PhD Researcher.
Education
- Degree: PhD; University: Massachusetts Institute of Technology (MIT); Major: Mechanical Engineering; Degree: M.Sc.; University: Technical University of Munich (TUM); Major: Aerospace Engineering; Degree: B.Sc.; University: Technical University of Munich (TUM); Major: Mechanical Engineering.
Background
- Research Interests: Combining deep learning with computational and experimental fluid dynamics to develop foundation models for physics; Professional Field: Mechanical Engineering, Aerospace Engineering; Background: Currently a PhD researcher at MIT in the Mechanical Engineering Department and the Schwarzman College of Computing.
Miscellany
- Personal Interests: Welcomes undergraduate or master's students interested in his research area to reach out.
