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.