• 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

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., 4 Jun 2020. 7 p.

Research output: Contribution to conferencePaper

Open Access
  • Intelligent control: a taxonomy

    Wilson, C., Marchetti, F., Di Carlo, M., Riccardi, A. & Minisci, E., 9 Jan 2020, p. 333-339. 7 p.

    Research output: Contribution to conferenceProceeding

    Open Access
  • 14 Downloads (Pure)


    • 5 Organiser of major conference

    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

    8th International Systems & Concurrent Engineering for Space Applications Conference

    Annalisa Riccardi (Organiser), Edmondo Minisci (Organiser), Massimiliano Vasile (Organiser)
    26 Sep 201828 Sep 2018

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