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 10 years of experience in machine learning, optimisation techniques and applications. She is currently involved in projects aiming at developing uncertainty propagation techniques for re-entry and prediction analysis, projects aiming at merging data analytics techniques and optimisation into what is known as robust data driven design optimisation, projects at introducing the use of Natural Language Processing techniques into the space engineering design process and projects aiming at using satellite image processing and machine learning techniques to address the 6th Un development goal on clear water an sanitation.
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
- 3rd European Optimisation in Space Engineering Workshop
- Organiser
- 9/2015
- EUROGEN 2015
- 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
James Weir Building
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