Edmondo Minisci

Dr

  • United Kingdom

Accepting PhD Students

PhD projects

- Dynamics and Control of Hypersonic Vehicles
- (Re-)Entry modelling and simulation of space debris and asteroids and Design for Demise
- Meta-modelling techniques for Design Optimisation and Uncertainty Treatment

19992020

Research output per year

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Personal profile

Personal Statement

Director of the Intelligent Computational Engineering Laboratory (ICE-Lab) and I have 20+ years of experience in the field of model based analysis and design optimisation of complex mechanical/aerospace systems/devices.

I'm also founder member and former general manager of OPTIMAD Engineering S.r.l. – Italian SME, Spin-off of the Politecnico di Torino, active in the field of aerodynamic analysis, design, and optimization.

 

Research Interests

Currently involved in projects regarding:

  • global optimisation of trans-atmospheric and interplanetary trajectories;
  • multidisciplinary design optimisation under uncertainties of space transportation systems and wind turbines;
  • (re-)entry modelling and simulation of space objects (debris and asteroids) and design for demise; and
  • machine learning techniques for data analytics and meta-modelling.

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
 

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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