Advancing the frontiers of space engineering through artificial intelligence, computational methods, and innovative research methodologies.
XDLab promotes deep integration of space engineering and artificial intelligence, pushing the limits of space engineering methodology for efficient and sustainable space development. Our research focuses on learning and autonomy in orbital environments and space systems.
Our research is organized into three primary areas that drive innovation in space engineering and technology.
Advanced optimization techniques for mission design, space sustainability, and orbital dynamics.
Integration of artificial intelligence and machine learning with space systems for autonomous operations.
Study of human-space interactions and their socio-economic impacts on technology development.
Our laboratory is currently conducting high-impact research projects that advance the state-of-the-art in space engineering and AI integration.
Large Language Model Benchmarking
Comprehensive benchmarking framework for evaluating large language model performance in fundamental astrodynamics problems.
Space Sustainability Analysis
Temporal analysis and quantification for space sustainability policies using advanced modeling frameworks.
Machine Learning Application
Early classification of space objects using astrometric time series data and advanced machine learning techniques.
State-of-the-art facilities supporting our research in space engineering and artificial intelligence at Embry-Riddle Aeronautical University.
Advanced computational resources for space dynamics simulations, machine learning model training, and numerical analysis of complex space systems.
Specialized facilities for processing astrometric data, satellite tracking information, and space object characterization.
Dedicated computing environment for developing and testing artificial intelligence and machine learning algorithms for space applications.
Strategic partnerships with leading research institutions advancing space engineering and artificial intelligence.
Active participation in AAS (American Astronautical Society) and AMOS (Advanced Maui Optical and Space Surveillance) conferences.
We are seeking motivated and technically strong PhD students interested in space engineering, dynamics, mission design, and artificial intelligence.