Organizational Unit:
Daniel Guggenheim School of Aerospace Engineering
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Multi-mission sizing and selection methodology for space habitat subsystems
Hypersonic shape parameterization using class – shape transformation with stagnation point heat flux
Machine learning regression for estimating characteristics of low-thrust transfers
Application of data fusion and machine learning to the analysis of the relevancy of recommended flight reroutes
Development of a Multidisciplinary Design Analysis Framework for Unmanned Electric Flying Wings
A methodology for sequential low thrust trajectory optimization using prediction models derived from machine learning techniques
System identification of a general aviation aircraft using a personal electronic device
A multi-UAV trajectory optimization methodology for complex enclosed environments
Ensuring pedestrian safety on campus through the use of computer vision
Predicting the occurrence of ground delay programs and their impact on airport and flight operations
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