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 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.

Publications

Improved collaborative optimization in multidisciplinary design optimization problems: Zhang Shuai, Minisci Edmondo, Liu Mingyong, Huang Yunke, Riccardi A; 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)
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)
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)
Towards an artificial intelligence based design engineering assistant for the early design of space missions: Berquand Audrey, Murdaca Francesco, Riccardi Annalisa, Soares Tiago, Gerené Sam , Brauer Norbert , Kumar Kartik; 69th International Astronautical Congress (2018)

more publications

Professional activities

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

more professional activities

Projects

Stardust-R (Stardust Reloaded) H2020 MCSA ITN 2018: Vasile, Massimiliano (Principal Investigator) Fossati, Marco (Co-investigator) Grey, Stuart (Co-investigator) Minisci, Edmondo (Co-investigator) Riccardi, Annalisa (Co-investigator); 01-Jan-2019 - 31-Jan-2022
Probabilistic Assessment of Destructive Re-entry (PADRE): Minisci, Edmondo (Principal Investigator) Riccardi, Annalisa (Co-investigator) Vasile, Massimiliano (Co-investigator); 15-Jan-2018 - 21-Jan-2019
WARC2 - Design Optimisation: Riccardi, Annalisa (Principal Investigator) Dempster, William (Co-investigator) Minisci, Edmondo (Co-investigator) Nash, David (Co-investigator); 01-Jan-2018 - 30-Jan-2021
Optimising Industrial Service Workforces using Mobile App Data: Roper, Marc (Principal Investigator) Minisci, Edmondo (Co-investigator) Riccardi, Annalisa (Co-investigator); 01-Jan-2018 - 01-Jan-2019
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.; 01-Jan-2018 - 01-Jan-2020
ESA NPI: Design Engineering Assitant: Riccardi, Annalisa (Principal Investigator); 01-Jan-2018 - 31-Jan-2020

more projects

Address

Mechanical and Aerospace Engineering
James Weir Building

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