Dr Edmondo Minisci

Senior Lecturer

Mechanical and Aerospace Engineering

Personal statement

I have 20+ years of experience in the field of model based analysis and design optimisation of complex mechanical/aerospace systems/devices.

At the Intelligent Computational Engineering Laboratory (ICE-Lab).

 

Expertise

Has expertise in:

    • Multi-Objective Optimisation
    • Nature Inspired Optimisation Algorithms
    • Uncertainty Treatment
    • Multidisciplinary Design Optimisation Under Uncertainties
    • MDOuU of Aerospace Transportation Systems and Renewable Energy Systems
    • Trajectory and Shape Optimisation
    • (Re-)Entry of Space Objects and Design for Demise
    • Meta-modelling Techniques
    • Computational Intelligence
    • Machine Learning
    • Multi-Fidelity Optimisation Approaches
    • Engineering Design Optimisation
    • Intelligent Control
     

Prizes and awards

Sir Arthur C Clarke Award for Space Achievement (Academic Study/Research)
Recipient
1/6/2015
Postdoctoral Research Fellowship (Politecnico di Torino, Italy)
Recipient
2004

More prizes and awards

Publications

A numerical approach to evaluate temperature-dependent peridynamics damage model for destructive atmospheric entry of spacecraft
Peddakotla Sai Abhishek, Yuan Jie, Minisci Edmondo, Vasile Massimiliano, Fossati Marco
The Aeronautical Journal (2022)
https://doi.org/10.1017/aer.2022.69
A deep learning approach to solar radio flux forecasting
Stevenson Emma, Rodriguez-Fernandez Victor, Minisci Edmondo, Camacho David
Acta Astronautica Vol 193, pp. 595-606 (2022)
https://doi.org/10.1016/j.actaastro.2021.08.004
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
Stochastic satellite tracking with constrained budget via structured-chromosome genetic algorithms
Gentile Lorenzo, Greco Cristian, Minisci Edmondo, Bartz-Beielstein Thomas, Vasile Massimiliano
Optimization and Engineering (2021)
https://doi.org/10.1007/s11081-021-09693-1
A novel approach for the accurate simulation of re-entry fragmentation
Peddakotla Sai Abhishek, Minisci Edmondo, Fossati Marco
72nd International Astronautical Congress 2021 72nd International Astronautical Congress (2021)
Machine learning-enabled prediction of wind turbine energy yield losses due to general blade leading edge erosion
Cappugi Lorenzo, Castorrini Alessio, Bonfiglioli Aldo, Minisci Edmondo, Campobasso M Sergio
Energy Conversion and Management Vol 245 (2021)
https://doi.org/10.1016/j.enconman.2021.114567

More publications

Research interests

Currently involved in projects regarding:

  • design optimisation of high lift devices;
  • multidisciplinary design optimisation under uncertainties of wind turbines;
  • (re-)entry modelling and simulation of space objects and design for demise; and
  • machine learning techniques for data analytics, meta-modelling, and intelligent control; 
  • aerospace tehcnologies and computational intelligence methods for forestry management, and precision agriculture

Professional activities

International Conference on Bioinspired Optimisation Methods and Their Applications
Chair
17/11/2020
STARDUST-R GLOBAL VIRTUAL WORKSHOP I
Organiser
2020
5th European Optimisation in Space Engineering Workshop
Organiser
21/11/2019
International workshop on satellite constellations and formation flying
Organiser
16/7/2019
17th Workshop on Advances in Continuous Optimization
Chair
28/6/2019
Numerical Computations: Theory and Algorithms (NUMTA2019)
Member of programme committee
10/2018

More professional activities

Projects

EPSRC IAA: Uncertainty Quantification of Novel Aeroelastic Systems using Advanced Composite Materials
Yuan, Jie (Principal Investigator) Minisci, Edmondo (Co-investigator) Vasile, Massimiliano (Co-investigator)
01-Jan-2022 - 30-Jan-2022
A Distributed Ledger approach to MBSE
Riccardi, Annalisa (Principal Investigator) Arulselvan, Ashwin (Co-investigator) Minisci, Edmondo (Co-investigator)
09-Jan-2021 - 31-Jan-2022
System Engineering Models meet Knowledge Graphs
Riccardi, Annalisa (Principal Investigator) Minisci, Edmondo (Co-investigator)
01-Jan-2021 - 30-Jan-2022
Artifical Intelligence for Space Traffice Management
Vasile, Massimiliano (Principal Investigator) Grey, Stuart (Co-investigator) Minisci, Edmondo (Co-investigator)
01-Jan-2020 - 30-Jan-2023
Using Chatbot Technology To Assure Quality Knowledge Capture From Space
Vasile, Massimiliano (Principal Investigator) Azzopardi, Leif (Co-investigator) Minisci, Edmondo (Co-investigator) Moshfeghi, Yashar (Co-investigator)
01-Jan-2020 - 31-Jan-2023
Robust- and sustainable-by-design ultra-higH aspEct ratio wing and Airframe (RHEA) H2020
Fossati, Marco (Principal Investigator) Minisci, Edmondo (Co-investigator)
Robust- and sustainable-by-design ultra-high aspect ratio wing and airframe
01-Jan-2020 - 31-Jan-2023

More projects

Address

Mechanical and Aerospace Engineering
James Weir Building

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