School of Electronic Engineering and Computer Science

Professor Ioannis Patras, BSc MSc ,PhD SMIEEE


Professor of Computer Vision and Human Sensing

Telephone: +44 20 7882 7523
Room Number: Engineering, Eng 211
Office Hours: Tuesday 14:15-16:15


Data Mining (Postgraduate/Undergraduate)

Data that has relevance for decision-making is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the Internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and electronic patient records. Data mining is a rapidly growing field that is concerned with developing techniques to assist decision-makers to make intelligent use of these repositories. The field of data mining has evolved from the disciplines of statistics and artificial intelligence. This module will combine practical exploration of data mining techniques with a exploration of algorithms, including their limitations. Students taking this module should have an elementary understanding of probability concepts and some experience of programming.

Machine Learning (Postgraduate/Undergraduate)

The aim of the module is to give students an understanding of machine learning methods, including pattern recognition, clustering and neural networks, and to allow them to apply such methods in a range of areas.

Machine Learning for Visual Data Analysis (Postgraduate/Undergraduate)

The module will cover the following topics: The Discrete Fourier Transform and the frequency content of images. The design and use of Gabor filters. Principal Component Analysis for denoising and compression. Unsupervised classification via feature space clustering. Texture segmentation with Gabor filters.


Research Interests:

My research experience lies mainly in the areas of Computer Vision, Image Processing and Pattern Recognition, and their applications in Multimedia Analysis, Visual Communications and Multimodal Man Machine Interaction. My recent research focuses on Human Sensining and Facial And Body Gesture Analysis, Tracking and Recognition.

Keywords: Face and Gesture Recognition, Tracking, Facial (Expression) Analysis, Human Motion Recognition, Behaviour Analysis, Human Sensing, EEG Analysis, Multimedia Indexing.