1 Sept 2023

Giacomo Acciarini

I am a doctoral researcher at the European Space Agency's Advanced Concepts Team (ACT) and at the Surrey Space Center of the University of Surrey.

I graduated in Politecnico di Milano (BSc) and TU Delft (MSc) on Aerospace Engineering and Space Exploration. During my MSc I spent 4 months at the Japanese Aerospace Exploration Agency, working on a project related to the Hayabusa2 mission and as a part of my thesis I worked in collaboration with the ACT implementing an ant colony optimizer in pagmo for space trajectory design.

In 2021 I worked as a researcher for the University of Oxford AI4Science Lab on developing and expanding the functionalities of a probabilistic programming simulator for spacecraft collision avoidance, called Kessler. Finally, since 2020 I have been working both as a researcher and mentor in collaboration with the Frontier Development Lab: a public-private partnership on AI research applied to space problems, in partnership with NASA, ESA, Google Cloud and NVIDIA. During these years I worked on AI applied to orbital propagation, collision avoidance, thermospheric density estimation and more.

Besides applied AI to space traffic management and space problems in general, my current research mostly revolves around stochastic continuation for space trajectory design. In particular, around the three-body problem and in finding ways to find natural periodic orbits in uncertain environments (such as small bodies with an irregular gravity field). The objective is to generalize the concept of periodic motion for macroscopic quantities such as the probability density function that describes the position and velocity of the spacecraft in an unknown environment.

You can find a list of my publications in Google Scholar.

In my free time... wait, what free time? Jokes aside I enjoy reading (especially Kafka) and playing chess.

Please do not hesistate to email me moc.liamg@iniraicca.omocaig or connect on LinkedIn.

Research at the Advanced Concepts Team

  • Giacomo Acciarini, Atılım Güneş Baydin, and Dario Izzo
    Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming
    Acta Astronautica 2vol. 226, pages 694-701, 2024
    [Open-Access Journal] [arXiv]
  • Giacomo Acciarini, Nicola Baresi, David J. B. Lloyd, and Dario Izzo
    Nonlinear Propagation of Non-Gaussian Uncertainties
    to appear in Journal of Guidance, Control and Dynamics
    [arXiv]
  • Giacomo Acciarini, Nicola Baresi, David J. B. Lloyd, and Dario Izzo
    Design of Robust Trajectories around Binary Asteroids via Moment Maps
    Proceedings of the 75th International Astronautical Congress 2024
    [link]
  • Max Bannach, Giacomo Acciarini, and Dario Izzo
    On the Keplerian TSP and VRP: Benchmarks and Encoding Techniques
    Proceedings of the 75th International Astronautical Congress 2024
    [link]
  • Max Bannach, Giacomo Acciarini, Jai Grover, and Dario Izzo
    Reliability of Constellations with Inter-Satellite Communication
    Proceedings of the 75th International Astronautical Congress 2024
    [link]
  • Sebastien Origer, Dario Izzo, Giacomo Acciarini, Francesco Biscani, Rita Mastroianni, Max Bannach, and Harry Holt
    Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold
    Proceedings of the 75th International Astronautical Congress 2024
  • Giacomo Acciarini, Francesco Biscani, and Dario Izzo
    EclipseNETs: A Differentiable Description of Irregular Eclipse Conditions
    SPAICE2024: The First Joint European Space Agency / IAA Conference
    [arXiv]
  • Dario Izzo, Marcus Märtens, Laurent Beauregard, Max Bannach, Giacomo Acciarini, Emmanuel Blazquez, Alexander Hadjiivanov, Jai Grover, Gernot Heißel, Yuri Shimane, and Chit Hong Yam
    Asteroid Mining: ACT&Friends' Results for the GTOC 12 Problem
    to appear in Astrodynamics 2025
    [arXiv]
  • Max Bannach, Emmanuel Blazquez, Dario Izzo, Giacomo Acciarini, Alexander Hadjiivanov, Gernot Heißel, Jai Grover, Yuri Shimane, and Chit Hong Yam
    The Space Optimization Competition
    Proceedings of the Genetic and Evolutionary Computation Conference Companion 2024
    [Website] [GECCO]
  • Flavio Tagliaferri, Emmanuel Blazquez, Giacomo Acciarini, and Dario Izzo
    Global Optimization for Trajectory Design via Invariant Manifolds in the Earth-Moon Circular Restricted Three-Body Problem
    Proceedings of the 29th International Symposium on Space Flight Dynamics 2024
    [arXiv]
  • Dario Izzo, Giacomo Acciarini, and Francesco Biscani
    NeuralODEs for VLEO Simulations: Introducing ThermoNET for Thermosphere Modeling
    Proceedings of the 29th International Symposium on Space Flight Dynamics 2024
    [arXiv]
  • Laurent Beauregard, Dario Izzo, and Giacomo Acciarini
    Breaking Traditions: Introducing a Surrogate Primer Vector in Non-Keplerian Dynamics
    Proceedings of the 29th International Symposium on Space Flight Dynamics 2024
    [arXiv]
  • Giacomo Acciarini, Nicola Baresi, David J. B. Lloyd, and Dario Izzo
    Stochastic Continuation of Trajectories in the Circular Restricted Three-Body Problem via Differential Algebra
    Proceedings of the 29th International Symposium on Space Flight Dynamics 2024
    [arXiv]
  • Giacomo Acciarini, Laurent Beauregard, and Dario Izzo
    Computing Low-Thrust Transfers in the Asteroid Belt: A Comparison Between Astrodynamical Manipulations and a Machine Learning Approach
    Proceedings of the 29th International Symposium on Space Flight Dynamics 2024
    [arXiv]
  • Giacomo Acciarini, Edward Brown, Thomas E. Berger, Madhulika Guhathakurta, James Parr, Christopher Bridges and Atılım Güneş Baydin
    Improving Thermospheric Density Predictions in Low-Earth Orbit with Machine Learning
    Space Weather Vol. 22 (2), e2023SW003652
    [Open-Access Journal]
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Advanced Concepts Team