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.
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
James Weir Building
Location Map
View University of Strathclyde in a larger map