Our People

Research Expertise

• Scientific machine learning
• Multidisciplinary design optimization
• Real-time data-to-decision for the design and health monitoring of zero emissions aerospace vehicles and technologies.

Research Expertise

• Optimization algorithms for applications in computational fluid dynamics
• Scientific machine learning, with a particular focus on marine vehicles and hydrofoils

Research Expertise

• Multidisciplinary design optimisation
• Scientific machine learning
• Data-to-decision for design manufacturing, condition monitoring and operations of aerospace systems/vehicles
• Computational methods for digital engineering
• Complex systems design and integration

Research Expertise

• Flexible aircraft dynamics
• Climate effects in aviation turbulence
• Aeroservoelastic optimisation and co-design
• Computational methods for load control and aeroelastics

Research Expertise

• Application of computational science and advanced computing capabilities to support sustainable aviation goals
• ‘Operation-aware’ aircraft design framework and optimization
• Aircraft performance and flight control systems

Key Responsibilities

• General enquiries and administration
• Communications, press enquiries and social media
• Events
• PhD and job opportunities

Research Expertise

• Aircraft and launch vehicle emissions estimation
• Computational modeling of the resulting atmospheric and environmental impacts
• Identifying new technical solutions to these challenges,
• Novel approaches to observing and simulating aircraft condensation trails (contrails) and their climate effects

Research Focus

• Magnetic control of hydrogen flames with real-time data assimilation

Research Focus

• Climate change-driven intensification of clear air turbulence impact on future aircraft design

Research Focus

• Dynamics and control of stratospheric vehicle for atmospheric sensing

Research Focus

• Long-term climate impact of contrails through modelling their evolution from discrete plumes to where they modify existing cirrus

Research Focus

• Co-Design of eVTOL Systems

Research Focus

• Computational methods for multi-fidelity active learning and multi-scale modelling, with applications in the design and optimisation of hydrogen fuel cell systems for future commercial aircraft.

Research Focus

Computational modelling of intercontinental pollution transport using a novel, GPU-accelerated Arbitrary Lagrangian-Eulerian (ALE) advection solver

Research Focus

• Design and optimisation of hydrogen powered aircraft

Research Focus

• Computational methods for flutter constraints in design optimization of future commercial aircraft wings

Research Focus

• Influence of gaps in airplane wings on the transition to turbulence.
• Utilisation of nektar++ software, with a spectral/hp element method approach

Research Focus

• Physics-aware, Operation-aware Reinforcement Learning for Fuel-saving Airline Fuel Loading Strategy