• 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

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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).

 

Research Interests

Currently involved in projects regarding:

  • design optimisation of high lift devices;
  • multidisciplinary design optimisation under uncertainties of wind turbines;
  • (re-)entry modelling and simulation of space objects and design for demise; and
  • machine learning techniques for data analytics, meta-modelling, and intelligent control; 
  • aerospace tehcnologies and computational intelligence methods for forestry management, and precision agriculture

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 Devlopment 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 7 - Affordable and Clean Energy

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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