Funded research
Robust inference for air quality monitoring
Developing new computational and statistical tools to better understand and predict urban air quality
Complexity twin for resilient ecosystems
Understanding the resilience of the UK's critical infrastructure ecosystems, to develop investment strategies and improve safety
Sequential sampling methods for difficult problems
Developing methods to address difficult problems by sampling from the random trajectories of collections of interacting 'particles'
Nature inspired routing for resilient networked systems
Learning from resilient ecosystems in nature to inform the design of real-time traffic routing and long-term transport infrastructure
A machine learning revolution in disaster response
When a natural disaster strikes, emergency responders and aid agencies need all the intelligence they can get. Turing researchers have combined crowd-sourcing, machine learning and neural networks to rapidly reveal the many dimensions of disasters, and deployed the technology in the aftermath of Hurricane Dorian
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