Davide Amato
Lecturer in Spacecraft Engineering at Imperial College London
Schools
- Imperial College London
Links
Biography
Imperial College London
Summary
I am a lecturer in the Department of Aeronautics at Imperial College London. Prior to joining Imperial, I was a Postdoctoral Associate first at the University of Arizona (Tucson, AZ, USA) and subsequently at the Colorado Center for Astrodynamics Research of the University of Colorado (Boulder, CO, USA). I completed my doctoral studies at the Technical University of Madrid (Spain) in 2017 while working as an Early Stage Researcher in the Stardust Marie Curie Initial Training Network. I obtained a MSc (2013) and BSc (2009) from the University of Naples "Federico II" (Italy), both in Aerospace Engineering.
The overarching theme of my research is the synergy between novel computational approaches and rigorous analytical methods rooted in celestial mechanics and dynamical systems; that is, computational astrodynamics. My research aims to preserve access to space for future generations through the mitigation of space debris and increased spacecraft autonomy.
My primary interests are in the dynamics of objects in the Earth-Moon-Sun system, deep learning applied to large-scale problems in astrodynamics, and robust spacecraft guidance, navigation, and control. Currently, I am working on mathematical methods for Space Situational Awareness and on novel guidance algorithms for Mars Entry, Descent, and Landing.
Potential PhD opportunities
I am always looking for outstanding, highly motivated PhD students for PhDs on advanced topics in astrodynamics. Prospective students are welcome to email me providing:
- Information on a proposed funding source and duration of funding.
- Evidence of a strong background in one or more of the following disciplines: celestial mechanics, dynamic optimisation/state estimation, machine learning (in particular regression problems).
- A technical report, written in English, concerning a project in one of the above disciplines. For example, this can be your Master's dissertation, final year project, conference/journal paper in which you are the lead author.
- Evidence of excellence in an MEng/MSc in Aerospace Engineering or related disciplines.
Due to the large volume of queries, I cannot guarantee a reply if the above information is not provided.
Videos
Aerodynamics & Control Seminar: Mars Entry, Descent, and Landing guidance under dynamic uncertainty
Data Learning - Martian Atmosphere Reconstruction through a Long Short-Term Memory Network
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