Emma Stevenson

Researcher

Emma Stevenson is a Marie Skłodowska-Curie Early Stage Researcher in the EU H2020 Stardust-R research network (http://www.stardust-network.eu/), based in the AIDA group in the school of Computer Systems Engineering at Universidad Politécnica de Madrid (UPM), Spain. She is researching how advanced machine learning and artificial intelligence techniques can be applied to the space sector, to make our use of space sustainable, and is also a Ph.D. student in the school of Aeronautics and Space Engineering at UPM. Her research into space sustainability is supported by secondments at the French Space Agency (CNES) in Toulouse, France, and the University of Strathclyde in Glasgow, UK, and follows from a two-year position as a Young Graduate Trainee with the European Space Agency’s Space Debris Office in Darmstadt, Germany.

  • Stardust Reloaded (Stardust-R)
    Scope: International
    Start date: January 1, 2019
    End date: June 30, 2023



2022

Stevenson, Emma; Rodriguez-Fernandez, Victor; Minisci, Edmondo; Camacho, David

A deep learning approach to solar radio flux forecasting Journal Article

In: Acta Astronautica, vol. 193, pp. 595-606, 2022, ISSN: 0094-5765.

Abstract | Links | BibTeX

2022

Stevenson, Emma; Rodriguez-Fernandez, Victor; Urrutxua, Hodei; Camacho, David

Deep learning for all-vs-all conjunction detection Inproceedings

In: 5th Workshop on Key Topics in Orbit Propagation Applied to Space Situational Awareness (KePASSA), Logroño, Spain, 2022.

Abstract | BibTeX

Fernandez-Mellado, Luis Sánchez; Stevenson, Emma; Rodriguez-Fernandez,; Vasile, Massimiliano; Camacho, David

An Intelligent System for Robust Decision-Making in the All-vs-All Conjunction Screening Problem Inproceedings

In: 3rd IAA Conference on Space Situational Awareness (ICSSA), Madrid, Spain, 2022.

Abstract | BibTeX

2021

Stevenson, Emma; Rodriguez-Fernandez, Victor; Urrutxua, Hodei; Morand, Vincent; Camacho, David

Self-supervised machine learning based approach to orbit modelling applied to space traffic management Inproceedings

In: 11th International Association for the Advancement of Space Safety Conference (IAASS), (Virtual), Osaka, Japan, 2021.

Abstract | BibTeX

Stevenson, Emma; Rodriguez-Fernandez, Victor; Urrutxua, Hodei; Morand, Vincent; Camacho, David

Artificial Intelligence for All vs. All Conjunction Screening Inproceedings

In: 8th European Conference on Space Debris (ECSD), (Virtual), Darmstadt, Germany, 2021.

Abstract | Links | BibTeX

2020

Stevenson, Emma; Rodriguez-Fernandez, Victor; Minisci, Edmondo; Camacho, David

A deep learning approach to space weather proxy forecasting for orbital prediction Inproceedings

In: 71st International Astronautical Congress (IAC), The CyberSpace Edition, 2020.

Abstract | Links | BibTeX

2019

Stevenson, Emma; Lemmens, Stijn; Siminski, Jan

Deriving a Unified Space Object Catalogue for the Purpose of Space Debris Monitoring and Modelling Inproceedings

In: 1st NEO and Debris Detection Conference, Darmstadt, Germany, 2019.

Links | BibTeX

2018

Stevenson, Emma; Virgili, Benjamin Bastida; Lemmens, Stijn; Reihs, Benedikt

Comparison of Atmosphere Models for Atmospheric Predictions Inproceedings

In: 4th International Space Debris Re-entry Workshop, Darmstadt, Germany, 2018.

Links | BibTeX

2017

Virgili, Benjamin Bastida; Lemmens, Stijn; Stevenson, Emma; Reihs, Benedikt

Statistical comparison of ISO recommended thermosphere models and space weather proxy forecasting on re-entry predictions Inproceedings

In: 68th International Astronautical Congress (IAC), Adelaide, Australia, 2017.

BibTeX

2016

Thomas, Alexandra; Stevenson, Emma; Gittins, Fabian W. R.; Miglio, Andrea; Davies, Guy; Girardi, Léo; Campante, Tiago L.; Schofield, Mathew

Galactic Archaeology with TESS: Prospects for Testing the Star Formation History in the Solar Neighbourhood Inproceedings

In: The European Physical Journal Conferences, Seismology of the Sun and the Distant Stars, 2016.

Links | BibTeX