News
Professor Weisi Guo from Cranfield University explores future of trustworthy autonomous systems and 6G telecommunications
5 March 2025

On 5th March 2025, the School of Engineering and Materials Science (SEMS) at Queen Mary University of London had the pleasure of hosting Professor Weisi Guo, Head of the Centre for Assured & Connected Autonomy at Cranfield University, for a compelling seminar on 'The Future of Trustworthy Autonomous Systems (TAS) and 6th Generation (6G) Telecommunications.'
Professor Guo's presentation delved into the UK's substantial investment in Trustworthy Autonomy programmes, highlighting key innovations developed at Cranfield University. These advancements include identifying novel attack vectors from intelligent electromagnetic meta-surfaces, pioneering swarm control physics-driven encryption methods, and utilising large language models (LLMs) for context-aware navigation. His team has secured two Royal Academy of Engineering fellowships to further this work, focusing on developing trustworthy inference of autonomous system intentions and enhancing TAS cyber resilience.
The seminar also introduced the CHEDDAR hub co-led by Professor Guo at Cranfield, which concentrates on automating 6G specifications using LLMs, verifying Open Radio Access Network (ORAN) policies through graph theoretical methods, and improving energy efficiency in mixed bit precision over-the-air computations.
Professor Guo's extensive research aligns closely with the objectives of our Centre for Intelligent Transport (CIT), which integrates strengths in Mechanical and Aeronautical Engineering, Power Systems, Robotics and AI, Digital Design and Manufacturing, and Advanced Materials to drive future transport and mobility technologies that better our world. We look forward to exploring potential collaborations that leverage our shared expertise to advance intelligent transport solutions.
We extend our gratitude to Professor Guo for his visit and for sharing his valuable insights, which have undoubtedly enriched our academic community and opened avenues for future research partnerships.
Contact: | Xinwei Wang |
Email: | xinwei.wang@qmul.ac.uk |
People: | Xinwei WANG Ahmed ISMAIL |
Research Centre: | Intelligent Transport |