Mr Callum Wilson

Research Assistant

Mechanical and Aerospace Engineering

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Publications

Extending a risk metric for individual missions to evaluate overall risk in orbit
Wilson Callum, Vasile Massimiliano, Feng Jinglang, McNally Keiran, Maric Nina, Horstmann Andre
75th International Astronautical Congress (2024)
Generation and classification of critical points in uncertain N-body problems via machine learning
Wilson Callum, Vasile Massimiliano
75th International Astronautical Congress (2024)
Closing the loop between space capacity and life cycle assessment : a network-theoretic approach
Wang Yirui, Wilson Callum, Vasile Massimiliano, Wilson Andrew Ross
22nd IAA Symposium on Space Debris 22nd IAA Symposium on Space Debris, pp. 1012-1023 (2024)
https://doi.org/10.52202/078360-0093
Dynamic orbital risk assessment in a changing space debris environment
McNally Keiran, Simarro Mecinas Francisco Javier, Johnson Ben, Oliveira Leonardo, Anton Alfredo, Maric Nina, Wilson Callum, Vasile Massimiliano, Horstmann Andre
22nd IAA Symposium on Space Debris 22nd IAA Symposium on Space Debris, pp. 1398-1411 (2024)
https://doi.org/10.52202/078360-0134
Modelling future launch traffic and its effect on the LEO operational environment
Wilson Callum J, Vasile Massimiliano, Feng Jinglang, McNally Keiran, Antón Alfredo, Letizia Francesca
AIAA SciTech 2024 Forum AIAA SciTech Forum 2024 (2024)
https://doi.org/10.2514/6.2024-1814
Quantifying the induced and encountered risk of space missions
Wilson Callum, Vasile Massimiliano, Feng Jinglang, McNally Keiran, Anton Alfredo, Letizia Francesca
74th International Astronautical Congress (2023)

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Professional Activities

74th International Astronautical Congress
Participant
2/10/2023
73rd International Astronautical Congress 2022
Participant
18/9/2022
Enabling Intelligent Onboard Guidance, Navigation, and Control Using Near-Term Flight Hardware
Speaker
26/10/2021
72nd International Astronautical Congress
Participant
25/10/2021
Learning powered descent trajectories with optimal control demonstrations
Speaker
25/6/2021
8th International Conference on Astrodynamics Tools and Techniques (ICATT 2021)
Participant
23/6/2021

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Projects

Generative Mapping and Control of Stationary Points in Complex Dynamical Systems
Vasile, Massimiliano (Principal Investigator) Wilson, Callum (Researcher)
Complex dynamical systems, from protein folding to brain dynamics, from complex networks to galaxies, present structures that are key to predicting and controlling their evolution. Among these structures, equilibrium points, periodic and libration solutions and resonances are of paramount importance to understand and control the evolution of these systems.

Identifying these structures is fundamental to ensure the resilience of national infrastructures, manufacture effective medication, understand and cure disease, study the evolution of climate on Earth, preserve our ability to access space. Just to name some key applications.

However, the identification of these structures in complex high dimensional system is a daunting task with a computational complexity that grows exponentially with the number of dimensions.

In this project we propose to use recent advances in generative machine learning to develop a new paradigm to automatically discover these structures and lay down the foundations of Generative Dynamics. The new paradigm, called MAX-net, has the potential to break the curse of dimensionality affecting many problems in scientific computing and provide a game changing enabling technology in all fields of engineering and science.
01-Jan-2023 - 30-Jan-2025

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Contact

Mr Callum Wilson
Research Assistant
Mechanical and Aerospace Engineering

Email: callum.j.wilson@strath.ac.uk
Tel: Unlisted