Manned aerial vehicles

• Human-Machine Interaction (HMI)
  • Display design
  • Multi-modal interaction (voice, touch, etc.)
  • Active controls
  • Augmented and virtual reality
• Trajectory optimisation
• Performance monitoring
• Anomaly detection 
• Contingency management
• Weather avoidance
• Recovery from Loss of Control (LOC) events
• Autonomous taxiing
• Autonomous runway and airport detection
• Multi-sensor data fusion 

Unmanned Aerial Vehicles (UAVs)

• Path planning
• Multi-sensor data fusion 
• Obstacle detection and avoidance
• Simultaneous Localisation and Mapping (SLAM)
• Aerial mapping
• Package delivery
• Fault-tolerant navigation
• Drone swarms
• Integration of UAVs in controlled airspace

Air Traffic Control (ATC) and Air Traffic Management (ATM)

• Human-Machine Interaction
• Air Traffic Flow and Capacity Management (ATFCM)
• Aircraft trajectory prediction
• Traffic hotspot prediction and resolution
• Airport operation optimisation

Hybrid/electric aircraft and sustainable operations

• Energy recovery systems
• Thermal management
• Hybrid propulsion systems
• Alternative aviation fuels
• Engineless taxiing

Space

• Space debris detection, localisation and quantification

Artificial Intelligence (AI) and Machine Learning (ML) for aviation applications

• AI and ML are applied to each of the research areas identified above

Blockchain for aviation applications

• Application of blockchain to aircraft airworthiness organisations