Teaching

In the current academic year, I am teaching two MSc course units as follows:

• COMP61021: Representation Learning
• DATA70121: Machine Learning and Statistics (I)

For students who enroll in those course units, you should be able to find all the information including lecture notes, coursework, supplemental/support materials, recommended text books and frequent asked questions from the above teaching websites and the blackboard.

Previous Teaching

• Modelling and Visualisation of High Dimensional Data (2010-2019)
• Introduction to Machine Learning (2009-2018)
• High Level Programming (2008-2011)
• IT Leadership Forum (2006-2008)
• Data Structures and Algorithms (2004-2005, 2005-2006, 2006-2007)
• Web Technology and Parctice I (2005-2006, 2006-2007)
• Internet Security (2003-2004, 2004-2005)
• Computer Graphics (2003-2004)
• Image Understanding (2001-2002, 2002-2003)
• Nature Inspired Learning (2001-2002, 2002-2003)
• Pattern Recognition and Neural Networks (1999-2000, 2000-2001)
• Perceptual Computing and Cognitive Systems (1998-1999)
• Introduction to Neural Computation (1994-1995, 1995-1996, 1996-1997)
• Statistical Pattern Recognition (1991-1992)

Final Year Undergraduate Project

For the latest projects suggested by me, see the school UG 3rd Yr project page.  Some sample projects are listed below.

• Biometric Authentication Systems (2007-2008)
• Automatic Non-Verbal Speech Analysis (2007-2008)
• Automatic Facial Expression Analysis (2007-2008)
• Visual Scene Segmentation (2007-2008)

MSc Project

For the latest projects suggested by me, see the school MSc project page.  Some sample projects are listed below.

• Spatio-temporal Facial Feature Extraction (2007-2008)
• Auditory Scene Categorization (2007-2008)
• Semi-supervised Learning by Incorporating Manifold Information (2007-2008)
• Boosting on Manifolds via Adaptive Regularization of Base Learners (2007-2008)