Machine learning, pattern recognition, neural networks, voice processing, auditory computation.

Decision making under uncertainty, reinforcement learning, unsupervised learning.

Statistical analysis of neural data, experimental design in neuroscience.

Neural networks, fuzzy systems, computational intelligence.

Many aspects of probabilistic modelling, identity uncertainty, expressive probability models.

Speech processing, auditory scene analysis, machine learning.

Research on Machine Learning/Neural Networks/Clustering. Applications to DNA microarray data analysis/industrial automation/information retrieval. Teaching activities.

Machine learning and medical data analysis, independent component analysis and information theory.

Hand-written character recognition.

Gaussian processes, non-linear Bayesian inference, evaluation and comparison of network models.

Models of human and computer vision.

Computational Neuroscientist. Research interests: reservoir computing, computational motor control, computation with spiking neurons.

Researcher at Methodist Hospital Research Institute on classification technology and related fields.

Neural networks, machine learning, acoustic source separation and localisation, independent component analysis, brain imaging.

Learning distributed representation of concepts from relational data.

Visual coding, statistics of images, independent components analysis.

Unsupervised learning, PCA, ICA, SOM, statistical pattern recognition, image and signal analysis.

Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.

Gesture recognition, Gaussian Process priors, control systems, probabilistic intelligent interfaces.

Neural networks and VLSI hardware.

Graphical models, machine learning, reinforcement learning.

Neural Networks, Spiking Neural Nets, Retinotopic Visual Architectures.

Machine learning, computer vision, Bayesian methods.