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Welcome to MAE

Our mission is to conduct visionary research in pursuit of the world's next great advances while providing a world-class education to tomorrow’s leaders in the fields of mechanical and aerospace engineering.

Sibley School of Mechanical and Aerospace Engineering

The Sibley School of Mechanical and Aerospace Engineering has roots at Cornell that go back to the founding of the University in 1865. Since then the Sibley School has grown to become one of the largest academic units in the University. Currently housed in Thurston, Kimball, Upson, Grumman and Rhodes Halls, the Sibley School is home of the mechanical engineering (ME) B.S. degree program as well as graduate programs in the fields of mechanical engineering, aerospace engineering (AE) and theoretical and applied mechanics (TAM).

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Recent News

Engineering Society founded in honor of Ephrahim Garcia

Cornell Engineering has announced the formation of the Ephrahim Garcia Engineering Society in honor...

MAE team wins design competition

with Soft Robotics Toolkit with their soft wheel robot.

Foam Heart Could Pump Inside You Just Like The Real Thing.

Different materials being tested by MAE's Prof. Shepherd and his team.

Assistant Prof. Dmitry Savransky recently participated in the

2015 US Frontiers of Engineering Symposium held Sept. 9-11th in Ivine, California.

Associate Prof. Hadas Kress-Gazit participated as

a panelist in the Ai Ascendant breakout at the DARPA Wait What Future Technology forum.

Latest Spotlights

Graduate student Jordan Chipka

shares his research with MAEnow. Check out the video!

Mike Psiaki, B.Sc. 2009, a LEGO® designer since Aug. 2012

Designs a replica of the iconic Ferrari F40, with sleek aerodynamic lines, vented, hinged rear hatch, opening doors and detailed interior. Now you can build your very own Ferrari F40! Get up close to one of the world’s greatest supercars.

PhD student Kevin Kircher in Prof. Zhang's lab wins 'Best Presentation in Session' award

at the American Control Conference for his talk "Economic Model Predictive Control of Thermal Storage for Demand Response"