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Computational intelligence, novelty generation and undecidability

The research will involve theoretical work in computational intelligence as well as computer simulations with cellular automata and other dynamical systems. It will aim to answer fu more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Computational Modeling of Immune Cell Chemotaxis and Swarming

 Using computational simulation to form and evaluate hypotheses concerning the factors that drive immune cell motility, such as neutrophil swarming, during inflammation. more...

Supervisor(s): Read, Mark (Dr)

Beyond Neuroinflammation: The Role of Microglia in Synaptic Plasticity

Microglia are the immune cells of the brain and are known to respond to infectious and non-infectious insults to the nervous system. Recently, a new function has been demonstrated f more...

Supervisor(s): Graeber, Manuel (Professor)

PET imaging of glioma in a TSPO knockout model

Glioblastoma is the most frequent primary brain tumour and the most malignant glial neoplasm (glioma) with predominantly astrocytic differentiation. Due to their invasive nature, gl more...

Supervisor(s): Graeber, Manuel (Professor), Banati, Richard (Professor)

Radical MOFs and POPs: from microporous conductors to CO(2) capture materials

This project involves the design, synthesis and characterisation of metal-organic frameworks (MOFs) and porous organic polymers (POPs) based on redox-active ligands and metal cluste more...

Supervisor(s): D'Alessandro, Deanna (Associate Professor)

Chiroptical phenomena of pi-conjugated materials

pi-conjugated materials are organic molecules with alternate single and double bond character that provide for their semiconducting properties. For example, pi-conjugated polymers ( more...

Supervisor(s): Lakhwani, Girish (Dr)

Machine Learning Algorithms to Detect Learning Tactics

Machine learning algorithms can be used to analyse the interactions occurring in learning environments to then adapt and personalise the experience to the learners. more...

Supervisor(s): Pardo, Abelardo (Dr)

Analysis of Behavioural Patterns after Data Visualization

Learners are given feedback about their interactions in a learning environment. What is the effect in their self-regulation? more...

Supervisor(s): Pardo, Abelardo (Dr)

Goal Setting Applications for Self-Regulation in a Learning Experience

Setting goals, monitoring progress and reflecting on the most efficient tools to achieve these goals are part of how a self-regulated learner behaves in a learning environment. Can more...

Supervisor(s): Pardo, Abelardo (Dr)

Automatic Grading for Team Summaries

Teams collaborate in environments mediated by technology. Can the artefacts produced by these teams be “ assessed” for quality? more...

Supervisor(s): Pardo, Abelardo (Dr)