Dr. Shabbar Naqvi

    • Dr. Shabbar earned his PhD in Advanced Fuzzy Logic from the University of Nottingham, United Kingdom in 2014 and Bachelor’s and Master’s degree in Computer Systems Engineering from the NED University of Engineering and Technology, Karachi in the years 2001 and 2006 respectively. His first job was as a lecturer in Computer Science in Mehran Degree College Karachi where he served from January 2002 to July 2005. He was responsible for delivering lectures in the subjects of Information Technology and C-programming to ICS and Bachelor degree students as well as managing the Local Area Network (LAN) of the college. He started serving as a lecturer in the department of CSES in August, 2005 on contract basis and became a permanent faculty member in December, 2005. Dr. Shabbar also served as Chairman of the department from October, 2006 to February, 2007. His main area of research is data analysis of complicated high dimensional big data sets. He is interested in applications of fuzzy set theory with an emphasis on Type-2 fuzzy logic. He is also interested in the analysis of data sets using commonly used unsupervised learning methods like clustering algorithms and optimisation techniques like Hill Climbing and Simulated Annealing.

    Awards and Achievements

    1. Nominated for the best paper award in the IEEE World Congress on Computational Intelligence (WCCI 2014), Beijing, July, 2014.

    2. Awarded complete travel grant by the organising committee of the IV Euro Working Group Conference on Operational Research (CBBM 2014), Poznan, Poland given to young researchers to present his research work.

    3. Awarded fully funded scholarship of worth Rs: 7.224 million by the Balochistan University of Engineering and Technology Khuzdar, Pakistan under faculty development programme to pursue PhD in the University of Nottingham.

    4. • Awarded Scholarship by the Govt of Balochistan to pursue study in the NED University of Engineering and Technology, Karachi for the degree of B.E (Computer Systems).

    5. • Secured Second Position among boys in F.Sc (Pre-Engg) examination and a Silver Medal in the Balochistan Board of Intermediate and Secondary Education, Quetta in 1995.

    6. • Secured Second Position in Matriculation examination (Science Group) and a Silver Medal in the Balochistan Board of Intermediate and Secondary Education, Quetta in 1993.

    Google Citations: http://scholar.google.com.pk/citations?user=QYj8aaYAAAAJ&hl=en&oi=ao

    List of Publications:

    Journal Papers

    i)Shabbar Naqvi, Simon Miller and Jonathan M. Garibaldi : A Type-II Fuzzy Logic Based Model for the Classification of Breast Cancer Grading from FTIR Spectra Data (in submission) in the IEEE Transactions on Fuzzy Systems.

    ii)Shabbar Naqvi, Simon Miller and Jonathan M. Garibaldi: A Fuzzy Inferencing System for Classifying Breast Cancer Grade Using Spectral Data with Membership Function and Rule Tuning (in submission) in the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

    Refereed Conference Papers

    i)i) Shabbar Naqvi, Simon Miller and Jonathan M. Garibaldi: A General Type-II Similarity Based Model for Breast Cancer Grading with FTIR Spectral Data in the FUZZ IEEE (IEEE International Conference on Fuzzy Systems), July 6-11, 2014, Beijing, China pages:834-841 (Nominated for the best paper award)http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6891831

    ii) Shabbar Naqvi and Jonathan M. Garibaldi: The complexities involved in the analysis of Fourier Transform Infrared Spectroscopy of breast cancer data with clustering algorithms in 3rd Computer Science and Electronic Engineering Conference (CEEC 2011), Colchester, U.K, pages:80-85 (IEEE Conference) http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5995830

    iii) Shabbar Naqvi and 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 in The 9th Annual Workshop on Computational Intelligence (UKCI 2009), Nottingham, UK. http://ima.ac.uk/papers/naqvi2009.pdf

    iv)Shabbar Naqvi and Jonathan M. Garibaldi: An Overview of the Application of Fuzzy Inference System for the Automation of Breast Cancer Grading with Spectral Data in the Proceedings of World Academy of Engineering, Science and Technology, Vol 6: 2012 , pages: 1216-1220 http://www.waset.org/publications/14738

    Abstract Publications:

    i) Shabbar Naqvi, Simon Miller and Jonathan M. Garibaldi: Modelling Classification of Breast Cancer Grading with Type-II Fuzzy Sets and Spectral Data in the IV EURO Working Group Conference on Operational Research in Computational Biology, Bioinformatics and Medicine, Poznan, Poland, June 2014.

    ii) Shabbar Naqvi, Simon Miller and Jonathan M. Garibaldi: Towards Development of a Fuzzy Inferencing System for the Automation of Breast Cancer Grading with Spectral Data Sets in The 2012 Mini EURO Conference on Computational Biology, Bioinformatics and Medicine, University of Nottingham, September 2012