Projects per year
Personal profile
Personal Statement
I have 25+ 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.
I welcome enquiries from prospective PhD students interested in working on design of aeronautical vehicles of any size, multi-fidelity methods, intelligent control, and engineering methods for sustainable agriculture and forestry.
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
- 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):
External positions
Scientific Adviser, Ergatek Srl
Oct 2022 → …
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
- Conceptual design
- Multidisciplinary Design Optimisation
- Multi-fidelity Optimisation
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Collaborations and top research areas from the last five years
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DTP 2224 University of Strathclyde | Downie, Jenna
Cartmell, M. (Principal Investigator), Minisci, E. (Co-investigator) & Downie, J. (Research Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/22 → 1/04/26
Project: Research Studentship - Internally Allocated
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Symbolic Computation for Differential Equation Based Systems
Cartmell, M. (Principal Investigator), Minisci, E. (Co-investigator) & Wynne, B. (Co-investigator)
Symbolic Computational Dynamics Ltd
1/10/22 → 31/03/26
Project: Research - Studentship
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A sensitivity study of the transonic aerodynamics of a strut-braced airframe
Nagy, P., Jones, B., Minisci, E. & Fossati, M., 30 Apr 2025, (Accepted/In press) In: The Aeronautical Journal.Research output: Contribution to journal › Article › peer-review
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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)16 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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NATO STO “Panel Excellence” Award (2024)
Minisci, E. (Recipient), 2024
Prize: Prize (including medals and awards)
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Postdoctoral Research Fellowship (Politecnico di Torino, Italy)
Minisci, E. (Recipient), 2004
Prize: Fellowship awarded competitively
Activities
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Contributions on Reliability to Recondition the Maintenance Plan and the Design of Systems by Using Evolutionary Algorithms
Minisci, E. (Examiner)
Jun 2022Activity: Examination types › Examination
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Characterization and Capture of Space Debris Objects Using Domain Ontology and Optimal Control
Minisci, E. (Examiner)
Mar 2022Activity: Examination types › Examination