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 And 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
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
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):
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SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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Strathclyde Centre for Doctoral Training in Socially Progressive Innovation and Entrepreneurship
Sahasranamam, S. (Principal Investigator), Riccardi, A. (Academic), Rodrigues Loncan, T. (Academic), Nicolopoulou, K. (Academic), Minisci, E. (Academic) & Kalin, R. (Academic)
1/05/19 → …
Project: Internally funded project
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GRPE Early Career Exchanges
Minisci, E. (Principal Investigator)
27/07/12 → …
Project: Internally funded project
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Analytical benchmark problems and methodological framework for the assessment and comparison of multifidelity optimization methods
Mainini, L., Serani, A., Pehlivan-Solak, H., Di Fiore, F., Rumpfkeil, M. P., Minisci, E., Quagliarella, D., Yildiz, S., Ficini, S., Pellegrini, R., Thelen, A., Bryson, D., Nikbay, M., Diez, M. & Beran, P. S., 1 Mar 2026, In: Archives of Computational Methods in Engineering. 33, 2, p. 2969-3000 32 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus) -
Model structure mining for electromechanical actuator systems: Signal characteristic analysis using high dimensional model representation and Kolmogorov- Arnold Modelling
Alimhillaj, P., Minisci, E., Dalla Vedova, M. D. L., Ferro, C. G. & Maggiore, P., 12 Jan 2026, Proceedings of the Joint International Conference: 5th Conference on Engineering and Entrepreneurship and 11th Textile Conference. : ITC-ICEE 2025. Guxho, G., Spahiu, T. K., Xhafka, E., Gjeta, A. & Sulejmani, A. (eds.). Springer, p. 166-185 20 p. ( Lecture Notes on Multidisciplinary Industrial Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile1 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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Mechanical And Aerospace Engineering (Organisational unit)
Minisci, E. (Member)
2026 → …Activity: Membership › Membership of committee
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Spacecraft Systems Design for LuNaDrone: A Deployable Lunar Hopper
Minisci, E. (Examiner)
Nov 2025Activity: Examination