Date of Award
Master of Science in Operations Research
Department of Operational Sciences
Raymond R. Hill, PhD
The United States Air Force has a pilot shortage. Unfortunately, training an Air Force pilot requires significant time and resources. Thus, diligence and expediency are critical in selecting those pilot candidates with a strong possibility of success. This research applies multivariate and statistical machine learning techniques to pilot candidates pre-qualification test data and undergraduate pilot training results to determine whether there are selected pre-qualification tests or specific training evaluations that do a \best" job of screening for successful pilot training candidates and distinguished graduates. Flight experience, both during training and otherwise, indicates pilot training completion and performance.
DTIC Accession Number
Giddings, Aaron C., "Predicting Pilot Success Using Machine Learning" (2020). Theses and Dissertations. 3196.