Hala Helmi

 

role Role: PhD Student
qualifications Qualifications:

Msc Management of IT (Nottingham University),

Bsc Management of IS (King Abd Al-Aziz University)
office Office: B38
telephone Telephone: +44 (0) 115 95 14299
email Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
homepage Homepage: http://www.ima.ac.uk

Research

My Research will focus in particular on the intelligent data analysis of multi-modal colon cancer data. As part of the PhD will examine this large, complex dataset to assess the appropriate columns to utilise, perhaps performing automated or semi-automated variable reduction. The data will then be analysed to examine the relationships between key variables, and their associations with known disease factors. Given that the data is multi-modal, consisting of many variables fo differrent type, ranges, etc. and featuring missing values and uncertainties in information,that appropriate treatment will require novel computational algorithms to be developed.

 

Teaching & Supervision

My PhD supervisors are Jon Garibaldi and Uwe Aickelin.

Conference Papers
Author(s) Title Publisher Page Year
Hala Helmi, Jon M. Garibaldi and Uwe Aickelin Examining the Classification Accuracy of TSVMs with Feature Selection in Comparison with the GLAD Algorithm UKCI 2011, the 11th Annual Workshop on Computational Intelligence, Manchester 7-12 2011

 

 

Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.