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👋 Hello, I am @Keeby-Astro
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My research interests include:
- Autonomous Robotic Systems
- Planetary Rover/Satellite Mission Planning and Adversarial Strategies
- Low Earth Orbit Satellite Constellations
- Planning of Multi-Agent Satellite Constellations
- Application of Machine Learning/Deep Learning for Complex Physics Problems
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I’m currently a graduate Aerospace Engineering student at the University of Oklahoma with a focus in Orbital Mechanics, Astrodynamics, and Machine Learning
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Current Research:
- On Analysis of Low Earth Orbit Satellite Constellations
- Analysis of Unknown Satellite Families for Large-Scale Constellations Using UMAP and HDBSCAN
- Time-Series Forecasting of 10.7 cm Solar Radio Flux using ResNeXt-iTransformer Hybrid Model
Popular repositories Loading
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Space-Sciences-and-Astrodynamics
Space-Sciences-and-Astrodynamics PublicMATLAB, Python, and C++ versions of Scripts from Orbital Mechanics for Engineering Students by Howard D. Curtis; Includes Additional Orbital Mechanics Scripts and Visualizations
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Embedded-Real-Time-Systems-Practice
Embedded-Real-Time-Systems-Practice PublicProjects for AME-3623-001: Embedded Real Time Systems of an Arduino-based Hovercraft using Inverse Kinematics
C++
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Constellation-Asteroid-Measurement-Project
Constellation-Asteroid-Measurement-Project PublicSenior Capstone Project - Development, Design, and Manufacturing of Attitude Determination and Control System via Reaction Wheels for 6U CubeSat
MATLAB
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Machine-Learning-Practice
Machine-Learning-Practice PublicImplementation of AME-5970-005: Applied Machine Learning Course for PyTorch and CNN-Transformer Final Project
Python
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Auto-Driving-Path-Following-and-Speed-Control
Auto-Driving-Path-Following-and-Speed-Control PublicAutonomous Driving Path Following and Speed Control - Final Project for AME-5970-001: Dynamics/Control Auto Driving
Python 1
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