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UCF’s Elgohary Uses Machine Learning to Predict Space Junk Movement

Tarek Elgohary and his team have calculated the possibility of collision between space objects using machine learning and additional computational methods. His work has been funded by the Federal Aviation Administration and Lockheed Martin Space.

“Space has always been our portal to innovation and ingenuity in all fields of science and engineering,” says Elgohary. “Space is our gateway to understanding our universe and our planet. Having sustainable access to space has always been key to innovation and ingenuity in all fields of study.”

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