Hi there! I'm Ezra, a Doctoral Researcher at CNES and PhD Student at ENAC. I am studying distributed computing for satellite swarms.
- PrioriSat - Natural Language-based Image Data Downlink Prioritization for Nanosatellites
- VERTECS Nanosatellite Project - This mission seeks to investigate star formation history by observing the cosmic background radiation using a 6U-size nanosatellite with a small-aperture telescope.
- VERTECS Camera Control Board - Open-source nanosatellite payload interface board leveraging Commercial Off-The-Shelf (COTS) components with a Raspberry Pi Compute Module 4 at its core.
- GalaxyClassification - Attempting to classify galaxy morphology using various supervised and unsupervised machine learning techniques.
- PhD - Distributed Computing for Satellite Swarms, Ecole Nationale de l'Aviation Civile (November 2024 to Present)
- Master of Engineering - Electrical and Space Systems Engineering, Kyushu Institute of Technology (October 2022 to September 2024)
- Bachelor of Science Honors - Computer Science, University of the Western Cape (February 2021 to December 2021)
- Bachelor of Science - Computer Science, University of the Western Cape (February 2018 to December 2020)
- E. Fielding and A. Hanazawa, "Flexible Natural Language-Based Image Data Downlink Prioritization for Nanosatellites", Aerospace, vol. 11, no. 11, 2024, doi: 10.3390/aerospace11110888.
- E. Fielding, V. H. Schulz, K. A. A. Chatar, K. Sano, and A. Hanazawa, "VERTECS: A COTS-based payload interface board to enable next generation astronomical imaging payloads", in Software and Cyberinfrastructure for Astronomy VIII, 2024, vol. 13101, p. 131010J, doi: 10.1117/12.3019471.
- E. Fielding, C. N. Nyirenda and M. Vaccari, "The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques," 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2022, pp. 1-6, doi: 10.1109/ICECET55527.2022.9872611.
- E. Fielding, C. N. Nyirenda and M. Vaccari, "A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification," 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2021, pp. 1-5, doi: 10.1109/ICECET52533.2021.9698414.