Computational statistical inference for engineering and security (CoSInES) Creating a step change in the use of statistical methodology, motivated by challenges in modelling, computation, and statistical algorithms
Sustainable infrastructures Combining reliable sensing technologies with online data analytics to improve real-time sustainability and resilience of infrastructures
Human-centric sensing Achieving flexible, economical, and large-scale human-in-the-loop sensing, such as mobile crowdsensing
Security in the cloud Investigating and prototyping the secure software components needed to enable data sharing without compromising data privacy.
Evaluating homomorphic encryption Exploring different ways of encrypting sensitive data that can allow for secure, outsourced computation in the cloud
Enhancing critical ecosystems Using data analysis to enhance critical ecosystems like cities and farms, and the digital-physical systems that support them