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

Set propagation in dynamical systems with generalised polynomial algebra and its computational complexity
Vasile Massimiliano, Ortega Absil Carlos, Riccardi Annalisa
Communications in Nonlinear Science and Numerical Simulation Vol 75, pp. 22-49 (2019)
https://doi.org/10.1016/j.cnsns.2019.03.019
Artificial intelligence for the early design phases of space missions
Berquand Audrey, Murdaca Francesco, Riccardi Annalisa, Soares Tiago, Gerené Sam, Brauer Norbert, Kumar Kartik
2019 IEEE Aerospace Conference 2019 IEEE Aerospace (2019)
https://doi.org/10.1109/AERO.2019.8742082
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)
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)
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)
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)

more publications

Professional activities

5th European Optimisation in Space Engineering Workshop
Organiser
21/11/2019
8th International Systems & Concurrent Engineering for Space Applications Conference
Organiser
26/9/2018
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

Centre for Doctoral Training in Socially Progressive Innovation and Entrepreneurship
Sahasranamam, Sreevas (Academic) Riccardi, Annalisa (Academic) Rodrigues Loncan, Tiago (Academic) Nicolopoulou, Katerina (Academic) Minisci, Edmondo (Academic) Kalin, Robert (Academic)
This is a interdisciplinary centre for doctoral training led by Chancellor's Fellows. The projects will focus on studying research questions in social entrepreneurship and social innovation aimed at addressing the United Nations Sustainable Development Goals (UN SDGs) through market-based mechanisms and theory linked interventions.
01-Jan-2019
Assessment of Intelligent Control Techniques
Riccardi, Annalisa (Principal Investigator) Minisci, Edmondo (Co-investigator)
21-Jan-2019 - 21-Jan-2019
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

more projects

Address

Mechanical and Aerospace Engineering
James Weir Building

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