PhD Scholarship in Image Recognition Available

A PhD Vice-Chancellor's Strategic Research Topic Scholarship for "Particle Swarm Optimization for Image Recognition" is available under the supervision of Dr Mark Johnston.

Image recognition tasks arise in a wide variety of practical situations, e.g., detecting faces from video images, identifying suspected terrorists from fingerprint images and diagnosing medical conditions from X-rays. Particle Swarm Optimization (PSO) is a stochastic, population-based evolutionary algorithm for solving optimization problems (in Operations Research) and image classification problems (in Artificial Intelligence). PSO uses ideas analogous to biological evolution and social-psychological principles of behaviour to search the space of candidate solutions for a particular task. PSO has been applied to a variety of image recognition and optimisation tasks and has achieved a certain level of success. However, there are still limitations in particle topology and representation, search algorithms and feature discovery in PSO that restrict PSO for difficult image classification tasks.

Scholarships applications close on 15 May and application forms will be available shortly from the Scholarships website. Interested applicants should complete the application form, and also contact Dr Mark Johnston.