Resilient Communication Networks (ResNet)

The ResNet project aims to enhance the integrity and resilience of communication networks within highly dynamic operational environments. To achieve this goal, we are leveraging cutting-edge network technology to facilitate anomaly detection and predictive analytics, enabling real-time optimisation in both cyber and physical systems.

You can read more about this project here.

TwinAIR

Project TwinAIR is part of the European cluster on indoor air quality and health, with the mission of improving urban life by tackling the challenge of indoor air quality (IAQ) and its interrelationship with external factors. The project aims to introduce a novel toolset for identifying sources and tracing a variety of pollutants and pathogens, to enhance understanding of their effects, to assess their impact on health, and to automate the improvement of air quality in indoor environments.

You can read more about this project here.

Digital Hospitals

The Digital Hospitals project aims to exploit the potential of digital technologies to address the key challenges in the delivery of effective and efficient healthcare provision at Cambridge University Hospitals (CUH). The project will also provide guidance towards the development of a long-term digital strategy to support its overall objectives of transforming into a world-class provider of healthcare services and maintaining its position as the leading exemplar within the NHS. 

You can read more about this project here.

Research Hub for Decarbonised Adaptable and Resilient Transport Infrastructures (DARe)

DARe will take a "system-of-systems" approach to transportation, addressing challenges across three intertwined scales: national, regional, and local. Its core mission revolves around the twin objectives of enhancing resilience and achieving net-zero emissions, spanning both existing and future transport infrastructure, and identify and provide solutions for new vulnerabilities that may occur because of the net zero transition, including critical interdependencies with digital and power infrastructures. 

You can read more about this project here.

Asset Renewal Investment For Critical Infrastructure Network: A Systems Approach

This study focusses on three key areas. First, it will explore how to classify assets within complex infrastructure networks into distinct systems, thereby enabling a systemic evaluation of interdependencies. Second, it will analyze the interdependencies among assets, systems and networks in terms of performance degradation and service interruption during both normal and disruptive periods, ultimately identifying associated risks. Finally, the study will propose a framework for asset renewal decision-making that incorporates risks derived from various disruption scenarios.

You can read more about this project here.

Fault Diagnosis in Complex Engineered Systems

This research tackles the critical issue of diagnosing early-life failures by developing a novel hybrid approach that combines probabilistic graph theory with artificial intelligence. 

You can read more about this project here. 

Smart Sensing Method for Energy-Efficient Data Collection

This research aims to develop a value based adaptive sampling method to reduce wireless sensor energy consumption while minimising the impact on the user’s data requirements.

You can read more about this project here.

AI-driven Methods for Network Resilience

This research aims to present a digital twin (DT) enabled framework to simulate the O&M decision-making path based on Markov decision process (MDP) and Reinforcement learning (RL).

You can read more about this project here.

Timely Spatial Information Sharing in Intra-Hospital Transfers to Improve Patient Flow

This PhD research aims to improve intra-hospital transfer (IHT) processes by examining how timely, accurate, and spatially oriented information—particularly around capacity, flexibility, and suitability—can streamline patient flow and reduce transfer turnaround time(from clinical decision about transfer to patient physical transfer to a ward bed).

You can read more about this project here.