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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 9 years of experience in optimisation techniques and applications. She is currently involved in projects aiming at developing uncertainty propagation techniques for re-entry and prediction analysis, and projects aiming at merging data analytics techniques and optimisation techniques into what is known as robust data driven design optimisation.

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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Projects 2015 2022

Research Output 2010 2019

Artificial intelligence for the early design phases of space missions

Berquand, A., Murdaca, F., Riccardi, A., Soares, T., Gerené, S., Brauer, N. & Kumar, K., 20 Jun 2019, 2019 IEEE Aerospace Conference. Piscataway, N.J.: IEEE, 20 p.

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

Open Access
Artificial intelligence
Expert systems
Concurrent engineering
Inference engines
Polynomial Algebra
Generalized Polynomials
Set theory
Computational complexity

Activities 2015 2019

  • 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