The next generation of technologies for information, energy distribution, transportation, manufacturing, and other critical infrastructures will be organised as intelligent network systems involving geographically distributed, but dynamically interconnected, sensing and control units.
Our research examines the structural and functional aspects of multiple genres of network systems that arise from engineering, social networks, and even quantum information processing.
We’re uncovering the hidden privacy and security risks accompanying the integration of cyber, physical, and social components in emerging applications such as intelligent transportation and smart grids.
Our research outputs have impact on:
New technologies such as online recommendations, smart grids, and cyber-physical systems are becoming an integral component of infrastructure. These are all operated as network systems with interconnected functioning units (agents) whereby cooperative and adversarial agent relations often coexist.
This project contributes directly to the safe and robust operation of these systems by developing theories and algorithms for control and identification over them.
It is widely accepted that smart infrastructure technologies are essential for dealing with the rapid growth and increasing diversity of modern energy and transportation networks. However, these systems require the sharing of data which in turn raises concerns over privacy.
We're developing privacy protection algorithms for intelligent systems with the intention of creating increased trust and wider uptake of smart technologies, especially in power and transportation infrastructure which are so critical for the economy.
