Publications

Generation and classification of critical points in uncertain N-body problems via machine learning

Wilson Callum, Vasile Massimiliano

75th International Astronautical Congress (2024)

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)

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

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

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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