• United Kingdom

Accepting PhD Students


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Personal profile

Personal Statement

Annalisa Riccardi received her PhD from the Centre of Industrial Mathematics of the University of Bremen, Germany, in 2012 with a thesis on multi objective multidisciplinary design optimisation techniques for rocket design. After the PhD she joined for 2 years the Advanced Concepts Team of the European Space Agency as research fellow in applied mathematics and computer science, where she continued pursuing her research on optimization, in particular on constraints handling techniques for evolutionary computation, as well as extending her field of expertise to other field of computational intelligence, in particular machine learning algorithms for ordinal regression and extreme learning machine algorithms. Her second appointment as post doc, from 2014 to 2016, has been at the Advanced Space Concepts Laboratory of Strathclyde University where, while continuing working on shape optimisation, optimal control, combinatorial optimisation and surrogate modeling techniques, with applications to the automotive and oil and gas sectors, she started to work also on uncertainty propagation techniques and optimisation under uncertainties.

She has more than 10 years of experience in machine learning, optimisation techniques and applications. She is currently involved in projects aiming at developing uncertainty propagation techniques for re-entry and prediction analysis, projects aiming at merging data analytics techniques and optimisation into what is known as robust data driven design optimisation, projects at introducing the use of Natural Language Processing techniques into the space engineering design process and projects aiming at using satellite image processing and machine learning techniques to address the 6th Un development goal on clear water an sanitation.

Education/Academic qualification

Doctor of Engineering, Bremen University

1 Jan 200921 Sep 2012

Award Date: 21 Sep 2012

Master of Mathematics, Universita degli Studi di Milano

Sep 2002Feb 2008

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Research Output

  • A novel update mechanism for Q-Networks based on extreme learning machines

    Wilson, C., Riccardi, A. & Minisci, E., 28 Sep 2020, 2020 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ.: IEEE, 7 p. 9207098

    Research output: Chapter in Book/Report/Conference proceedingConference contribution book

    Open Access
  • 2 Downloads (Pure)


    Data for: "Scheduling of Space to Ground Quantum Key Distribution"

    Polnik, M. D. (Creator), Mazzarella, L. (Contributor), Di Carlo, M. (Contributor), Oi, D. (Contributor), Riccardi, A. (Supervisor) & Arulselvan, A. (Contributor), University of Strathclyde, 28 Jan 2020



    • 6 Organiser of major conference
    • 1 Types of Public engagement and outreach - Media article or participation

    An eye from the sky to view impact: Case of satellite imaging

    Sreevas Sahasranamam (Contributor) & Annalisa Riccardi (Contributor)

    21 Sep 2020

    Activity: Other activity typesTypes of Public engagement and outreach - Media article or participation

    5th European Optimisation in Space Engineering Workshop

    Annalisa Riccardi (Organiser), Edmondo Minisci (Organiser) & Massimiliano Vasile (Organiser)

    21 Nov 2019

    Activity: Participating in or organising an event typesOrganiser of major conference