Principal Computational Physics Research Scientist
Mehran Ebrahimi is a Principal Research Scientist on the Simulation, Optimization, and Systems team at Autodesk Research in Toronto. He holds a master’s degree in mechanical engineering from the University of Toronto in the field of computational solid mechanics, and is currently pursuing his PhD part-time at the University of Toronto Institute for Aerospace Studies. His research interests include computational physics, numerical analysis, computational optimization, reduced-order modeling, and physics-informed machine learning. Mehran has several patents and publications in top-tier peer-reviewed engineering journals and scientific conferences. During his years at Autodesk Research, he has made important contributions to several projects including DreamCatcher, Barc, FibraGen, Momentum, Apple-tree, Configuration Design, and Arc. In his spare time, he enjoys reading books, watching movies, and hanging out with friends. Depending on his mood, sometimes he grabs his camera and captures a few shots.
Optimal Design of Continuum Robots with Reachability Constraints
While multi-joint continuum robots are highly dexterous and flexible,…
Multi-speed Gearbox Synthesis Using Global Search and Non-convex Optimization
We consider the synthesis problem of a multi-speed gearbox, a…
A low order, torsion deformable spatial beam element based on the absolute nodal coordinate formulation and Bishop frame.
Heretofore, the Serret–Frenet frame has been the ubiquitous choice…
Project Dreamcatcher: Generative Design Solutions in CAD
What if a CAD system could generate thousands of design options that…
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