Data-driven policing Designing decision support systems that combine crime data with other forms of intelligence to inform the policing of serious violence that is often enacted or enabled collaboratively
Statistical techniques for engineering with advanced materials Bringing together experts in material testing, engineering, statistics and mathematics to address challenges in manufacturing with 3D printed stainless steel
Mean-field games and interacting particle systems Using models of strategic decision making in very large populations to study Smart Grids and statistical sampling
Probabilistic numerics Using probability to more accurately model the difference between a real, physical system and a mathematical approximation of that system, improving engineering practice
Predictive monitoring Assessing system health and predicting failures through predictive monitoring of gas turbine engines
Mean field games for cyber security Implementing models of strategic decision-making in very large populations of small, randomly interacting agents, to analyse cyber-security threats
Inverse problems Developing statistical tools for problems in applications such as medical imaging and industrial safety, where unknown parameters are determined from observations and measurements
Instrumented infrastructure Developing new statistical methods for sensor data to improve how infrastructure is delivered, maintained and controlled
Adaptive MCMC Optimising sampling algorithms used for genomics, infectious diseases, climate, and financial and industrial models