PhD Research Student – EPSRC Interdisciplinary Research Studentship
Mary, University of London
Project Title: Developing a visualisation system for feature-invariant gender classification from human faces
Supervisors: Dr. Qazi Rahman, Prof. Peter William McOwan
In collaboration with the School of Electronic Engineering and Computer Science at Queen Mary and the Vision Research group at UCL I am currently investigating the perception and categorisation of gender and sexual orientation in human faces. By mathematically analysing the structure and movement of faces using sophisticated computational techniques and psychophysical experimentation we aim to find the properties commonly used to categorise people into gender and sexuality groups – and uncover how ‘gaydar’ effects work, what such judgements are based on and how accurate they tend to be.
2008-2009 University of Liverpool
University of St. Andrews
Facial perception, human gender and sexual orientation, sexual behaviour, visual neuroscience, social categorisation, evolutionary psychology, computer vision