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Graph-based Methods in Power Networks Analysis, Optimisation and Control

The analysis tools for power networks assume that the network is either a transmission or a distribution network. These days with distributed generation, demand-side control, storag more...

Supervisor(s): Hill, David John (Professor)

A modal comparison of resiliency and reliability

Reliability and resilience capture a transport network’s ability to provide consistent accessibility under a range of conditions. Resilience is impacted by the structure of th more...

Supervisor(s): Moylan, Emily (Dr)

Large-scale Machine-to-Machine Communications Networks

Machine-to-machine (M2M) communications has emerged as a new communication paradigm that allows intelligent devices/machines to directly communicate with each other with little or n more...

Supervisor(s): Li, Yonghui (Professor), Vucetic, Branka (Professor)

Physical-layer Rateless Codes for Wireless Channels

RATELESS codes were initially developed to achieve efficient transmission in erasure channels. The initial work on rateless codes has mainly been limited to erasure channels with th more...

Supervisor(s): Li, Yonghui (Professor), Vucetic, Branka (Professor)

Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design

Ultra-reliable and low latency communications is central to the development of next generation's mobile communications and many emerging mission critical applications. The project w more...

Supervisor(s): Shirvanimoghaddam, Mahyar (Dr), Li, Yonghui (Professor), Vucetic, Branka (Professor)

Exploring the complexity of complex (mega) projects

Owing to unexpected emerging behaviour, interdependencies among participating stakeholders and wider scope, today's projects are becoming more complex. Understanding the complex nat more...

Supervisor(s): Uddin, Shahadat (Dr)

Predictive disease modelling using Big data analytics and Complex network methods

This research project aims to mine administrative claim dataset to develop predictive models for individual chronic disease as well as for the comorbidity of multiple chronic diseas more...

Supervisor(s): Uddin, Shahadat (Dr)

Understanding disease progression and comorbidities using multi-omics and clinical information

This research project aims at exploring clinical and multi-omics data to improve our present understanding of disease progression, transition and comorbidities. To achieve this aim, more...

Supervisor(s): Uddin, Shahadat (Dr)

Health burden of chronic diseases

This research project aims to model the health burden of chronic diseases and their comorbid conditions using Markov models, Bayesian statistics and Complex network. more...

Supervisor(s): Uddin, Shahadat (Dr)