My research interests are focused on various aspects of machine learning, image analysis, and computer vision:
Kernel Machine. Investigating kernel machine as a common representation for various machine learning algorithms including MLPs, RBFs, Gaussian processes, support vector machines and wavelets. Also looking at the construction of new kernel functions which can be used to cope with the discrete structure in pattern such as object shape structure etc.
Bayesian, probabilistic and statistical methods in machine learning (with Dr. S.R. Gunn and Prof. C.J. Harris, Southampton). Investigating the role of prior knowledge in kernel machine learning algorithms and adaptive variational algorithms.
Dimensionality Reduction. General interest in dimensionality reduction and manifold learning
Image Matting. Currently my main interest is in developing fast algorithms for image matting by using machine learning techniques.
3D Scene Understanding . This research is investigating novel methods for modelling and understanding scene through learning from video sequences.
Data Clustering Techniques for Computer Vision. Explore data mining techniques for object recognition in images and vide sequences.
I am keen to recruit more PhD students to work with me in the fields of Machine Learning and Image Analysis.
If you would like to do a PhD in this school or collaborate with me then please contact me. A list of possible PhD titles/themes is available here. For your convenience, I created FAQs on PhD Admission and Scholarships Applications.
Please refer to Research Higher Degrees Office's Website for more details about PhD program and the information about the available scholarship at the University