Aerospace and Defence Week
25-29 November 2024
The aerospace sector is under greater pressure than ever to decarbonise. Hear how sustainable aviation fuel (SAF) and hydrogen could help that happen during this week, which will also look at the future of autonomous flight, the growing private space sector, and how modern warfare is changing the sector.
29
Nov
Transforming aerospace and defence: the AI revolution
Join Cranfield University for an exploration of how artificial intelligence (AI) intersects with the aerospace and defence industries. Our expert panel, whose research strengths include human machine intelligence, autonomy, and aerodynamics, will discuss the challenges and opportunities presented by AI - and its potential to reshape the future.
Join us for a thought-provoking webinar to find out about the latest thinking and research being carried out in this area.
Theme Sponsor:
-
SpeakersAlistair Saddington Professor of Defence Aeronautics Cranfield University
Antonios Tsourdos Director of AI, Robotics and Space Theme Cranfield University
Weisi Guo Professor of Human Machine Intelligence, Head of Centre for Assured & Connected Autonomy Cranfield University
Loading feed
Confirm cancellation
Something went wrong.
An error occurred trying to play the stream. Please reload the page and try again.
Close
Alistair's main research and teaching interests are in aerodynamics, including computational and experimental methods, as well as engineering design and optimisation. He has over 25 years of experience in aerospace engineering across both industry and academia, including research leadership, management, and postgraduate teaching and supervision.
Antonios' research is focused on autonomy. He has published widely on guidance, control and navigation for single and multiple autonomous vehicles as well as mission planning and multi-agent systems.
Weisi's research designs data-driven solutions for socio-cyber-physical ecosystems. In particular, he is interested in how AI and information systems can be designed for specific challenging environments or tasks, whilst integrating human domain knowledge.