The rapid development of Low Earth Orbit (LEO) mega constellations has significantly
contributed to several aspects of human scientific progress, such as communication …

To ensure the secure operation of space assets, it is crucial to employ ground and/or space-
based surveillance sensors to observe a diverse array of anthropogenic space objects …

Maintaining tracks on space objects with limited sets of observers is a critical problem, made
more urgent with exponential growth in the population of near-Earth satellites. An optimally …

Realistic decision-making often occurs with insufficient time to gather all possible evidence
before a decision must be rendered, requiring an efficient process for prioritizing between …

Convolutional neural networks (CNNs) are utilized for the task of inferring the attitude status
in terms of rotation rate of resident space objects (RSOs) using simulated light curve …

The detection of dim artificial Earth satellites using ground-based electro-optical sensors,
particularly in the presence of background light, is technologically challenging. This …

The space object catalog provides orbital state and characteristic information of space
objects for critical applications in space situational awareness. Maintaining accurate states …

Current state-of-the-art sensor tasking for space situational awareness is human-analyst
intensive, reactive, and individualized for specific sensors. In application, there are many …

Abstract Space Domain Awareness (SDA) is the actionable knowledge required to predict,
avoid, deter, operate through, recover from, and/or attribute cause to the loss and/or …

A novel multi-objective Monte Carlo Tree Search (MO-MCTS) algorithm is developed and
implemented for use in architecture design problems. This algorithm is used with two well …