MLO PhD Projects

The group is always open to the best students looking to pursue PhD research. The following topics are suggested, but by no means are an exhaustive list - feel free to look around this site and find a supervisor whose research catches your interest.

What will your research contribution be?

Animation by Machine Learning with Motion Capture Data.
Auditory Scene Categorization.
Automatic Emotion Detection, Analysis and Recognition.
Automatic Spoken Language Recognition.
BAMM - Bayesian approximation by multiobjective methods.
Biometric Authentication and Applications.
Computational Methods for Analysis of Next Generation Sequencing Technologies.
Convergent algorithms for learning probabilistic behaviour in multi-agent systems.
Data Driven Mechanistic Models for Systems Biology.
Development of scalable computational approaches for identifying the sites of perturbations in metabolic pathways.
Exploring the relationship between sparse inference and optimization using Statistical Mechanics.
Hybrid dynamical systems analysis of on-line learning in a non-stationary environment.
Inferring Complex Hidden Causes of Disease through Probabilistic Models.
Information Component Analysis.
Learning from Series of Problem Instances.
MODE - Multiobjective Optimization for Design of Experiments.
Perceptual Computing and Modelling.
Probability collectives for partially separable problems.
Semi-Supervised Ensemble Learning.
Statistical Learning for Temporal Information Processing.
Symmetry feature extraction for artificial neural networks: providing position, size, rotation invariance.
Evolving artificial neural networks: is recombination [or crossover] an efficient operator?
Higher-Order Temporal Generalization.