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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 2018

Aerodynamic design optimization of wind turbine airfoils under aleatory and epistemic uncertainty

Caboni, M., Minisci, E. & Riccardi, A., 29 May 2018, (Accepted/In press). 10 p.

Research output: Contribution to conferencePaper

Open Access
Wind turbines
Design optimization

Artificial intelligence for early design of space missions in support of concurrent engineering sessions

Murdaca, F., Berquand, A., Riccardi, A., Soares, T., Gerené, S., Brauer, N. & Kumar, K., 26 Sep 2018. 7 p.

Research output: Contribution to conferenceProceeding

Open Access
Concurrent engineering
Artificial intelligence
Knowledge management
Learning systems

Activities 2015 2016

  • 3 Organiser of major conference
  • 1 Organiser of special symposia

IEEE Symposium Series on Computational Intelligence

Annalisa Riccardi (Organiser)
Dec 2016

Activity: Participating in or organising an event typesOrganiser of special symposia

Numerical and Evolutionary Optimisation for the Cities of the Future

Annalisa Riccardi (Organiser)
Sep 2016

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