Selected Projects
Dimensionally Accurate Part Modeling
As part of the update of our sUAS quadcopter airframe model, I created new, detailed, and dimensionally accurate 3D models of components on our craft, Spirit XII. These components include our motors, propellers, batteries, and power distribution board.
Super-Resolution Generative Adversarial Neural Network using TensorFlow and Keras
Super-Resolution Generative Adversarial Network created using Tensorflow and Keras as part of a neural networks group project in Multivariable Calculus. The SRGAN model was created and trained by us, over a period of three weeks. This code is designed to run on an M1 chip.
Selected Publications
Asynchronous object-oriented approach to the automation of the 0.8-meter George Mason University campus telescope in Python
We present a unique implementation of Python coding in an asynchronous object-oriented programming (OOP) framework to fully automate the process of collecting data with the George Mason University (GMU) Observatory’s 0.8-meter telescope. The goal of this project is to perform automated follow-up observations for the Transiting Exoplanet Survey Satellite (TESS) mission, while still allowing for hum ...
The Little Ice Age, NASA, Colonial Virginia, and the Conundrum of Anomalous Weather Conditions
The relevance of what has been termed as “The Little Ice Age” and its effect on the two earliest English settlements at both Jamestown and the “Lost” Colony of Roanoke in present-day coastal Virginia are still being widely discussed within the scientific community. Recent NASA surveillance findings concerning the events surrounding temperature anomalies at that time, how these affected the Earth’s ...
Selected Conferences
A Flexible Python Observatory Automation Framework for the George Mason University Campus Telescope
We present a unique implementation of python coding in an asynchronous object-oriented framework to fully automate the process of collecting data with the George Mason University Observatory’s 0.8-meter telescope. The goal of this project is to streamline the process of collecting research data and monitoring weather, most often for follow-up observations for the TESS mission. We have automated sl ...
Methods of Data Analysis on TESS Observations
We present follow-up observations of TESS targets conducted by our research group at George Mason University. Targets were observed nightly through a 0.8m telescope, and chosen through the SG1 TESS Transit Finder. Using AstroImageJ, a software package for image processing, our team reduced, platesolved and performed aperture photometry on images of targets. Apertures were chosen through accounting ...
