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CURRENT MEMBERS

Below is a list of the doctorate members actively conducting research at CIRG. Click on each name for more detailed information on the researcher and his/her project.


M Snyman

PhD Started in 2009

P Raharja

PhD Started in 2009

M Mtshali

PhD Started in 2009

B Kalema

PhD Started in 2009

J Grobler

PhD Started in 2009
M.Eng Completed in 2009

M Ahmad

PhD Started in 2009

T Museba

PhD Started in 2008

L Li

PhD Started in 2008

C Naicker

PhD Started in 2007
M.Sc Completed in 2006
Hons-B.Sc Completed in 2002

K Malan

PhD Started in 2007

M Greeff

PhD Started in 2007

B Baridam

PhD Started in 2007

MC du Plessis

PhD Started in 2006

D Constantinou

PhD Started in 2006

A Graaff

PhD Started in 2005
M.Sc Completed in 2003

N Franken

PhD Started in 2005
M.Sc Completed in 2004
Hons-B.Sc Completed in 2002

A Ismail

PhD Started in 2005
M.Sc Completed in 2001

ALUMNI

Below is a list of previous doctorate members that conducted research at CIRG. Click on each name for more detailed information on the researcher and his/her project.


L Schoeman

PhD Completed in 2010

P Lutu

PhD Completed in 2010

S Khan

PhD Completed in 2009

D Rodic

PhD Completed in 2005
M.Sc Completed in 1999

M Omran

PhD Completed in 2005

F van den Bergh

PhD Completed in 2002

MEMBER PROFILE



 Name:

 Mohammed Omran

Portrait photo

 E-mail:

 mjomran@yahoo.com

 Group(s):

 Swarm Intelligence
 Image Analysis

 

 Degree specific information: PhD

 Title:

 Image Clustering using Particle Swarm Optimization

 Abstract:

Because of its simplicity and efficieny in navigating large search spaces for optimal solutions, particle swarm optimizers (PSOs) are used in this research to develop efficient, robust and flexible unsupervised image clustering algorithms. Both hard (crisp) and fuzzy clustering are being studied and comparison with the well known image clustering techniques is being conducted. Furthermore, a PSO algorithm which dynamically determine the number of clusters in the image set (i.e., fully unsupervised image clustering) will be developed. The influence of the number of particles, number of iterations, and other PSO parameters on the performance of the PSO will be explored.

 Supervisor / Co-Supervisor:

 AP Engelbrecht
 Prof A Salman (Kuwait)

 Thesis:

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