Sotabase

Career

· Postgraduate Research Student, University of Surrey2025–
· Participant, Frontier Development Lab2020–
· Contributor, Kessler (developed by Constellations team at FDL Europe 2020)2020–

Publications (32)

MHACO: a Multi-Objective Hypervolume-Based Ant Colony Optimizer for Space Trajectory Optimization
IEEE Congress on Evolutionary Computation · 2020
16
cited
Towards Automated Satellite Conjunction Management with Bayesian Deep Learning
arXiv.org · 2020
14
cited
Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming
Acta Astronautica · 2024
10
cited
Improving Thermospheric Density Predictions in Low‐Earth Orbit With Machine Learning
Space Weather · 2024
9
cited
Spacecraft Collision Risk Assessment with Probabilistic Programming
arXiv.org · 2020
9
cited
Nonlinear Propagation of Non-Gaussian Uncertainties: Theory and Applications to Spacecraft Trajectory Design
Journal of Guidance Control and Dynamics · 2024
7
cited
Asteroid mining: ACT&Friends’ results for the GTOC12 problem
Astrodynamics · 2024
5
cited
Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold
arXiv.org · 2024
3
cited
Computing low-thrust transfers in the asteroid belt, a comparison between astrodynamical manipulations and a machine learning approach
arXiv.org · 2024
3
cited
Learning the solar latent space: sigma-variational autoencoders for multiple channel solar imaging
2021
3
cited
OBSERVATION STRATEGIES AND MEGACONSTELLATIONS IMPACT ON CURRENT LEO POPULATION
3
cited
Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles
arXiv.org · 2021
3
cited
The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11
Acta Astronautica · 2022
3
cited
EclipseNETs: a differentiable description of irregular eclipse conditions
arXiv.org · 2024
2
cited
EclipseNETs: Learning Irregular Small Celestial Body Silhouettes
Acta Astronautica · 2025
1
cited
Global Optimization for Trajectory Design via Invariant Manifolds in the Earth-Moon Circular Restricted Three-Body Problem
2024
1
cited
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery
arXiv.org · 2023
1
cited
High-order expansion of Neural Ordinary Differential Equations flows
arXiv.org · 2025
1
cited
IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
arXiv.org · 2025
1
cited
NeuralODEs for VLEO simulations: Introducing thermoNET for Thermosphere Modeling
arXiv.org · 2024
1
cited
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Giacomo Acciarini | Researcher Profile | Sotabase | Sotabase