Projects per year
Personal profile
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), whithin the Aerospace Centre of Excellence.
Please do not hesitate to contact me for research or knowledge exchange collaborations or to discuss a possible PhD project.
Research Interests
Currently involved in projects regarding:
- design optimisation of high lift devices;
- multidisciplinary design optimisation under uncertainties of wind turbines and aerospace transportation systems;
- machine learning techniques for data analytics, meta-modelling, and intelligent control;
- aerospace tehcnologies and computational intelligence methods for sustainable development, especially precision agriculture and forest management.
Expertise & Capabilities
- 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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords
- Motor vehicles. Aeronautics. Astronautics
- Engineering design. Design Optimisation. Uncertainty Quantification
- Wind Energy
- Uncertainty
- CFD
- Aerodynamic design
- Machine Learning
- Computational Intelligence
- Numerical methods
- Evolutionary Computation
- Engineering design
- Intelligent Control
- Aerospace Design
- Data Analytics
- Nature inspired
- access to space
- Multidisciplinary Design Optimisation
- Multi-fidelity Optimisation
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Dive into the research topics where Edmondo Minisci is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Symbolic Computation for Differential Equation Based Systems
Cartmell, M., Minisci, E. & Wynne, B.
Symbolic Computational Dynamics Ltd
1/10/22 → 31/03/26
Project: Research - Studentship
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DTP 2224 University of Strathclyde | Downie, Jenna
Cartmell, M., Minisci, E. & Downie, J.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/22 → 1/04/26
Project: Research Studentship - Internally Allocated
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Automatic design of interpretable control laws through parametrized genetic programming with adjoint state method gradient evaluation
Marchetti, F., Pietropolli, G., Camerota Verdù, F. J., Castelli, M. & Minisci, E., 1 Jul 2024, In: Applied Soft Computing Journal. 159, 17 p., 111654.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)13 Downloads (Pure) -
Opensource machine learning metamodels for assessing blade performance impairment due to general leading edge degradation
Castorrini, A., Ortolani, A., Minisci, E. & Campobasso, M. S., 10 Jun 2024, In: Journal of Physics: Conference Series. 2767, 5, 10 p., 052055.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Downloads (Pure)
Datasets
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Data for: "Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation"
Marchetti, F. (Creator), Wilson, C. (Creator), Powell, C. (Creator), Minisci, E. (Creator) & Riccardi, A. (Creator), University of Strathclyde, 25 Mar 2021
DOI: 10.15129/4ae2eb7e-678d-4644-90ad-1cf2a953287f, http://www.evostar.org/2021/evomusart/
Dataset
Prizes
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Postdoctoral Research Fellowship (Politecnico di Torino, Italy)
Minisci, Edmondo (Recipient), 2004
Prize: Fellowship awarded competitively
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Sir Arthur C Clarke Award for Space Achievement (Academic Study/Research)
Maddock, Christie (Recipient), Vasile, Massimiliano (Recipient) & Minisci, Edmondo (Recipient), 1 Jun 2015
Prize: Prize (including medals and awards)
Activities
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Contributions on Reliability to Recondition the Maintenance Plan and the Design of Systems by Using Evolutionary Algorithms
Edmondo Minisci (Examiner)
Jun 2022Activity: Examination types › Examination
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Characterization and Capture of Space Debris Objects Using Domain Ontology and Optimal Control
Edmondo Minisci (Examiner)
Mar 2022Activity: Examination types › Examination