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Impact of COVID 19 pandemic on cryptocurrency market using time series models with variance gamma distribution

This project will investigate properties of high frequency cryptocurrency returns data which often display high kurtosis. Popular heavy tail distributions like Student t and exponen more...

Supervisor(s): Chan, Jennifer (Associate Professor)

Multivariate brain activity patterns underlying consciousness

Clinical assessment of consciousness is one of the most significant issues in brain injury and general anaesthesia, yet it remains challenging for medical practitioners. Terrifyingl more...

Supervisor(s): Fulcher, Ben (Dr)

Modelling the mechanisms of brain stimulation

Brain-stimulation techniques that modulate brain activity in a targeted way are growing in their clinical relevance, for example, with transcranial magnetic stimulation (TMS) being more...

Supervisor(s): Fulcher, Ben (Dr)

Modeling brain dynamics with spatial gradients

A core aim of neuroscience is to understand how the brain, with its staggering complexity of 100 billion neurons, makes sense of the world around it. Large-scale global initiatives more...

Supervisor(s): Fulcher, Ben (Dr)

Semi-metric machine learning techniques to investigate trend of COVID 19 spread and impact on stock market

The spread of COVID 19 pandemic appears to occur in several phrases and each phrase has possibly different impacts on the economy as reflected in the stock market. This project aims more...

Supervisor(s): Chan, Jennifer (Associate Professor)

Retaining Military Personal Model: Adequacy, Robustness and Simplicity

The project will focus on implementing Partial Least Squares Path Modelling techniques to determine the military turnover drivers and their contribution to turnover.  An econom more...

Supervisor(s): Jajo, Nethal (Dr), Peiris, Shelton (Associate Professor)

Fighting the spread of misinformation

The development of a quantitative measure of the spread of misinformation, for the purposes of developing a strategy to counter science denial. more...

Supervisor(s): Alexander , Tristram (Dr), Fulcher, Ben (Dr), Sharma, Manjula (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)

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)

Socio-Technical Futures Lab – Machine Vision

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)