Research at a glance

We study how weather, aircraft wake vortices and operational decisions shape air traffic flows. Our work combines deep learning, uncertainty modelling and optimisation to support trajectory planning, arrival scheduling and airport operations.

We explore the planning and operation of drone and low-altitude air mobility systems. Research includes trajectory prediction, wind-aware route planning, facility location and logistics decisions under demand uncertainty.

We study the environmental implications of aviation through contrail detection, emissions analysis and aircraft life-cycle research. Satellite imagery, meteorology and air traffic data help us examine possibilities for climate-conscious flight operations.

We investigate how pilots and controllers interact with operational demands and automation. Simulator studies, EEG, eye-tracking and interpretable learning methods inform research on workload, situation awareness, cockpit interfaces and human–AI collaboration.

We explore how spaceports, launch windows and orbital services can be planned as connected transport systems. Weather uncertainty, network resilience and risk-aware decisions link this direction to our aviation research.