Dr Annalisa Riccardi

Senior Lecturer

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.

Her main experience is in machine learning, optimisation techniques and applications to the engineering sector. Her current research interests are in the field of

  • Explainable AI for industrial decision support
  • Robust data driven planning, routing and scheduling
  • Intelligent on board control
  • Natural Language Processing and Understanding in support to space engineering design and operations
  • Blockchain applications in aerospace

This expertise is applied in her role as Associate director of the Intelligent Computational Engineering Laboratory (ICE Lab) at the University of Strathclyde

Publications

Single-stage to orbit ascent trajectory optimisation with reliable evolutionary initial guess
Marchetti Francesco, Minisci Edmondo, Riccardi Annalisa
Optimization and Engineering (2021)
https://doi.org/10.1007/s11081-021-09698-w
A multistage optimisation algorithm for the large Vehicle Routing Problem with Time Windows and Synchronised Visits
Polnik Mateusz, Riccardi Annalisa, Akartunali Kerem
Journal of the Operational Research Society Vol 72, pp. 2396-2411 (2021)
https://doi.org/10.1080/01605682.2020.1792365
Towards explainability of on-board satellite scheduling for end user interactions
Powell Cheyenne, Riccardi Annalisa
72nd International Astronautical Congress (2021)
Analysis of the robustness and mission performance of a CubeSat orbiting a binary asteroid system
Fodde Iosto, Feng Jinglang, Riccardi Annalisa, Vasile Massimiliano
72nd International Astronautical Congress (2021)
Improving the efficiency of reinforcement learning for a spacecraft powered descent with Q-learning
Wilson Callum, Riccardi Annalisa
Optimization and Engineering (2021)
https://doi.org/10.1007/s11081-021-09687-z
Scheduling space-to-ground optical communication under cloud cover uncertainty
Polnik Mateusz, Arulselvan Ashwin, Riccardi Annalisa
IEEE Transactions on Aerospace and Electronic Systems Vol 57, pp. 2838-2849 (2021)
https://doi.org/10.1109/TAES.2021.3069286

More publications

Professional activities

An eye from the sky to view impact: Case of satellite imaging
Contributor
21/9/2020
5th European Optimisation in Space Engineering Workshop
Organiser
21/11/2019
17th Workshop on Advances in Continuous Optimization
Organiser
28/6/2019
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

More professional activities

Projects

AI-Powered Digital Assistant for Space System Engineering
Riccardi, Annalisa (Principal Investigator) Vasile, Massimiliano (Co-investigator)
01-Jan-2022 - 31-Jan-2023
ESA ITT Intelligent Operations and Preventative Maintenance Assistant
Riccardi, Annalisa (Principal Investigator)
01-Jan-2022 - 30-Jan-2023
A Distributed Ledger approach to MBSE
Riccardi, Annalisa (Principal Investigator) Arulselvan, Ashwin (Co-investigator) Minisci, Edmondo (Co-investigator)
09-Jan-2021 - 31-Jan-2022
Enhancing sustainable finance with satellite data and advanced analytics
Liu, Bin (Principal Investigator) Bowden, James (Co-investigator) Riccardi, Annalisa (Co-investigator)
01-Jan-2021 - 30-Jan-2022
Exploiting AI Capabilities to Facilitate and Assist the Evaluation Process of Ideas Submitted in the OSIP Platform FEPOSI
Riccardi, Annalisa (Principal Investigator)
15-Jan-2021 - 14-Jan-2022
System Engineering Models meet Knowledge Graphs
Riccardi, Annalisa (Principal Investigator) Minisci, Edmondo (Co-investigator)
01-Jan-2021 - 30-Jan-2022

More projects

Address

Mechanical and Aerospace Engineering
James Weir Building

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