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Dr Annalisa Riccardi

Strathclyde Chancellor'S Fellow

Mechanical and Aerospace Engineering

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 7 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.

Publications

Indexing discrete sets in a label setting algorithm for solving the elementary shortest path problem with resource constraints
Polnik Mateusz Damian, Riccardi Annalisa
2018 IEEE Congress on Evolutionary Computation, (2018)
Aerodynamic design optimization of wind turbine airfoils under aleatory and epistemic uncertainty
Caboni M., Minisci E., Riccardi A.
The Science of Making Torque from the Wind 2018, (2018)
GTOC9 : Methods and results from University of Strathclyde (team Strath++)
Ortega Absil Carlos, Ricciardi Lorenzo A., Di Carlo Marilena, Greco Cristian, Serra Romain, Polnik Mateusz, Vroom Aram, Riccardi Annalisa, Minisci Edmondo, Vasile Massimiliano
Acta Futura, pp. 57-70, (2018)
http://dx.doi.org/10.5281/zenodo.1139246
GTOC 9 : Results from University of Strathclyde (team Strath++)
Ortega Absil Carlos, Ricciardi Lorenzo A., Di Carlo Marilena, Greco Cristian, Serra Romain, Polnik Mateusz, Vroom Aram, Riccardi Annalisa, Minisci Edmondo, Vasile Massimiliano
Acta Futura Vol 11, pp. 57-70, (2018)
http://dx.doi.org/10.5281/zenodo.1139246
Uncertainty treatment in the GOCE re-entry
Minisci Edmondo, Serra Romain, Vasile Massimiliano, Riccardi Annalisa, Grey Stuart, Lemmens Stijn
1st IAA Conference on Space Situational Awareness (ICSSA), (2017)
Preface
Maldonado Yazmin, Trujillo Leonardo, Sch├╝tze Oliver, Riccardi Annalisa, Vasile Massimiliano
NEO 2016Studies in Computational Intelligence Vol 731, (2017)

more publications

Professional activities

IEEE Symposium Series on Computational Intelligence
Organiser
12/2016
Numerical and Evolutionary Optimisation for the Cities of the Future
Organiser
9/2016
EUROGEN 2015
Organiser
9/2015
3rd European Optimisation in Space Engineering Workshop
Organiser
9/2015

more professional activities

Projects

Optimising Industrial Service Workforces using Mobile App Data
Roper, Richard (Principal Investigator) Minisci, Edmondo (Co-investigator) Riccardi, Annalisa (Co-investigator)
Period 01-Mar-2018 - 01-Sep-2018
ESA NPI: Design Engineering Assitant
Riccardi, Annalisa (Principal Investigator)
Period 01-Jan-2018 - 31-Dec-2020
ESA/ITI Robust Mission Design Phase B
Vasile, Massimiliano (Principal Investigator) Riccardi, Annalisa (Co-investigator)
Period 16-Jun-2016 - 15-Jun-2017
EXPRO+ Benchmarking re-entry prediction uncertainties
Minisci, Edmondo (Principal Investigator) Riccardi, Annalisa (Co-investigator) Vasile, Massimiliano (Co-investigator)
Period 01-Sep-2015 - 02-Nov-2017
Factories of the Future Resources, Technology, Infrastructure and Services for Simulation and Modelling (FORTISSIMO)
Minisci, Edmondo (Principal Investigator) Vasile, Massimiliano (Co-investigator) Riccardi, Annalisa (Research Co-investigator)
Period 01-Jul-2015 - 31-Dec-2016

more projects

Address

Mechanical and Aerospace Engineering
James Weir Building

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