Shabbar Naqvi

 

 Shabbar Naqvi
role Role: PhD Student
qualifications Qualifications:

B.E, M.E (Computer Systems),

N.E.D ,U.E.T,Karachi (Pakistan)

 
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 area of research is analysis of FTIR data in combination with supervised and unsupervised learning techniques for the prognosis of Breast Cancer.

Teaching & Supervision

My PhD supervisors are Jonathan M. Garibaldi, and Ian Ellis

Conference Papers
Author(s) Title Publisher Page Year
Shabbar Naqvi and Jonathan M. Garibaldi The Complexities Involved in the Analysis of Fourier Transform Infrared Spectroscopy of Breast Cancer Data with Clustering Algorithms 3rd Computer Science and Electronic Engineering Conference (CEEC 2011) 80 - 85 2011
Shabbar Naqvi, Jonathan M. Garibaldi An Investigation into the use of Fuzzy C-Means Clustering of Fourier Transform Infrared Microscopic Data for the Automation of Breast Cancer Grading The 9th Annual Workshop on Computational Intelligence (UKCI 2009), Nottingham, UK 2009

 

 

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