Paul Witsberger

Paul received his BS in Aeronautical and Astronautical Engineering from Purdue University in May 2016 and his MS in Aeronautics and Astronautics from Purdue in May 2017. Paul has published 2 conference papers and 1 journal article with another of each submitted for review. His research interests include using machine learning to solve trajectory design and optimization problems, particularly the missed thrust problem. As an undergraduate, Paul was the project manager of the Purdue Hyperloop Design Team, the principal systems engineer for the Purdue Lunabotics team, and the president of the Purdue AIAA chapter.

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Relevant Publications

Witsberger and J. Longuski, “Interplanetary Trajectory Design Using a Recurrent Neural Network and Genetic Algorithm: Preliminary Results,” AAS 18-411, Snowbird, UT, 2018.

Aldrin, P. Witsberger, R. Potter, J. Millane, S. Saikia, B. Kaplinger, and J. Longuski, “Hyperbolic Abort Options for Human Missions to Mars,” AAS 17-648, Stevenson, WA, 2017.