Sort by
Refine Your Search
-
infrastructure in the UK relies on combined conveyance of sewage, surface runoff, and pre-treated industrial wastewater. Emergency overflows divert excess flows to receiving water courses or attenuation facilities
-
challenge in the UK's Net Zero transition. Current satellite dependent navigation remains vulnerable to interference, jamming and signal degradation, causing serious problems for safe and efficient transport
-
limitations in both measurement and modelling techniques. Current in-process measurement methods are restricted to surface-only monitoring devices (e.g., cameras and pyrometers), which fail to capture
-
that facilitate seamless integration between AI hardware components and embedded systems, ensuring efficient data flow and processing. Cranfield University offers a distinctive research environment renowned for its
-
. Our current research has an overarching focus on sustainability in and from space, working closely with industry and agency partners to deliver cutting-edge solutions for real-world problems
-
flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and mitigation system
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
expertise, access to real-world data, and a clear pathway for the industrial application of research outcomes, ensuring strong alignment with current and future industry needs. A major challenge facing
-
challenge in the UK's Net Zero transition. Current satellite dependent navigation remains vulnerable to interference, jamming and signal degradation, causing serious problems for safe and efficient transport
-
experimentation and validation, and machine learning. References of our current/recent work are here: "Automatic Retrieval-Augmented Generation of 6G Network Specifications for Use Cases," IEEE Communications
-
maintenance. However, current technologies are relatively slow and not capable enough to provide quick performance, diagnostic and prognostic predictions for real time applications. With the rapid development