• United Kingdom

Accepting PhD Students

PhD projects

- Intelligent Control for Aerospace Transportation Systems and Energy Systems
- Meta-modelling techniques for Design Optimisation and Uncertainty Treatment
- Multidisciplinary Design Optimisation of Aerospace Transportation and Energy Systems

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):

  • 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

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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Collaborations and top research areas from the last five years

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  • A simplified hydraulic capacity-sensitive fluid dynamics numerical model for monitoring aerospace electro-hydraulic actuators

    Dalla Vedova, M. D. L., Alimhillaj, P., Minisci, E. & Maggiore, P., 10 Jan 2024, Proceedings of the Joint International Conference: 10th Textile Conference and 4th Conference on Engineering and Entrepreneurship. Guxho, G., Kosova Spahiu, T., Prifti, V., Gjeta, A., Xhafka, E. & Sulejmani, A. (eds.). Cham: Springer, p. 264-274 11 p. (Lecture Notes on Multidisciplinary Industrial Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution book

  • Machine learning based prognostics of on-board electromechanical actuators

    Minisci, E., Dalla Vedova, M. D. L., Alimhillaj, P., Baldo, L. & Maggiore, P., 10 Jan 2024, Proceedings of the Joint International Conference: 10th Textile Conference and 4th Conference on Engineering and Entrepreneurship. Guxho, G., Kosova Spahiu, T., Prifti, V., Gjeta, A., Xhafka, E. & Sulejmani, A. (eds.). Cham: Springer, p. 148-159 12 p. (Lecture Notes on Multidisciplinary Industrial Engineering; vol. Part F2090).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution book