The exponential growth of space objects in near-Earth orbit is placing new demands on space traffic management systems. Instead of hundreds to thousands of objects, future space traffic management systems will be required to maintain and provide a space catalogue of thousands to tens of thousands of objects. Essential to enabling this capability is the simultaneous improvement in current force modelling techniques and a reduction in their computational cost. 

The central focus of this project is to investigate and develop novel computational techniques that exploit new-wave GPU hardware and machine learning approaches to provide real-time high-fidelity force modelling capabilities to enable future space traffic management systems.


Dr Chris Capon

Dr Melrose Brown


School of Engineering & IT

Research Area

Space Situational Awareness


Lecturer and Space Program Coordinator Melrose Brown
Lecturer and Space Program Coordinator