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

Knowledge-based information extraction from datasheets of space parts: Murdaca F., Berquand A., Kumar K., Riccardi A., Soares T., Gerené S., Brauer N.; 8th International Systems & Concurrent Engineering for Space Applications Conference, (2018)
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.; 8th International Systems & Concurrent Engineering for Space Applications Conference, (2018)
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 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

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
3rd European Optimisation in Space Engineering Workshop: Organiser; 9/2015
EUROGEN 2015: Organiser; 9/2015

more professional activities

Projects

Design Engineering Assistant (DEA) for Space Mission Design: Berquand, Audrey (Researcher) Murdaca, Francesco (Researcher) Riccardi, Annalisa (Principal Investigator); Design Engineering Assistant for early phases of space mission design, an expert system that will assist the experts allowing knowledge discovery and knowledge reuse.; Period 01-Jan-2018 - 01-Jan-2020
WARC2 - Design Optimisation: Riccardi, Annalisa (Principal Investigator) Dempster, William (Co-investigator) Minisci, Edmondo (Co-investigator) Nash, David (Co-investigator); Period 01-Oct-2018 - 30-Sep-2021
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

more projects

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Mechanical and Aerospace Engineering
James Weir Building

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