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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)

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)

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)

Non-orthogonal multiple access for massive Internet of Things

Non-orthogonal multiple access (NOMA) has been identified as a key technology in the fifth generation of mobile wireless standards to improve the network capacity. This project aims more...

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

Simulating Transport for Realistic Engineering Education and Training

Understanding and predicting travel demand and travel patterns is one of the most important
but also most challenging tasks of transport
engineers, planners, and geographers. Tr more...

Supervisor(s): Levinson, David (Professor), Ramezani Ghalenoei, Mohsen (Dr)

A Benefit/Cost Analysis of Benefit/Cost Analysis

Transportat projects of significant size and scope often must be subjected to fairly rigorous project evaluation processes.  Benefit-cost analysis (BCA) is a project evaluation more...

Supervisor(s): Levinson, David (Professor)

Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things

In this project, the channel code design problem for massive Internet of Things (IoT) is considered by taking into account the unique characteristic of massive IoT, i.e., short leng more...

Supervisor(s): Shirvanimoghaddam, Mahyar (Dr), 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)

Traffic Programming - Algorithms for Cooperative Behaviour among Unconnected AVs

Current AV algorithms aim to safely manoeuvre a vehicle through traffic without involving humans. These algorithms do not consider implications on the efficiency of traffic as a who more...

Supervisor(s): Levinson, David (Professor)

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)