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

Postdoctoral Research Fellowship (Politecnico di Torino, Italy)
Recipient
2004

More prizes and awards

Publications

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
A deep learning approach to solar radio flux forecasting
Stevenson Emma, Rodriguez-Fernandez Victor, Minisci Edmondo, Camacho David
Acta Astronautica (2021)
https://doi.org/10.1016/j.actaastro.2021.08.004
Genetic programming guidance control system for a reentry vehicle under uncertainties
Marchetti Francesco, Minisci Edmondo
Mathematics Vol 9 (2021)
https://doi.org/10.3390/math9161868
Investigating the influence of uncertainty in novel airframe technologies on realizing ultra-high aspect ratio wings
Ma Yiyuan, Minisci Edmondo, Elham Ali
AeroBest 2021 (2021)
Convolutional Generative Adversarial Network, via Transfer Learning, for traditional Scottish music generation
Marchetti Francesco, Wilson Callum, Powell Cheyenne, Minisci Edmondo, Riccardi Annalisa
Artificial Intelligence in Music, Sound, Art and Design 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design Lecture Notes in Computer Science (2021)
Assessment of optimization methods for aeroacoustic prediction of trailing-edge interaction noise in axisymmetric jets
Stirrat Sarah, Afsar Mohammed Z, Minisci Edmondo
Mathematics Vol 9 (2021)
https://doi.org/10.3390/math9090998

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

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
Multi-disciplinary modelling of the aerothemodynamically-induced fragmentation of re-entering bodies (MIDGARD)
Fossati, Marco (Principal Investigator) Minisci, Edmondo (Co-investigator)
01-Jan-2020 - 31-Jan-2023

More projects

Address

Mechanical and Aerospace Engineering
James Weir Building

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