Bio

Dr. Muhammad Haseeb is professional and young teacher of the department having vast experience in teaching as well as in research area and artificial intelligence. 
PhD  M.Sc   
May 2013 – date, Assistant Professor, Department of Computer Science, University of Peshawar June 2005 – January 2009, Lecturer, N-W.F.P. U.E.T. Peshawar.
Machine learning; graph-algorithms in vision; face image analysis; shape analysis and recognition; object recognition;computer vision, pattern recognition, in particular related to 3D imaging and 3D shape analysis.
  1. Haseeb, M. and Hancock, E. R. (2013). Eigenvector Sign Correction for Spectral Correspondence Matching. In Proceedings of 17th International Conference on Image Analysis and Processing, (pp. 41-50). ICIAP (2) 2013: 
  2. Haseeb, M. and Hancock, E. R. (2012). 3D Shape Classification using Commute Time. Eigenvector Sign Correction for Spectral Correspondence Matching, SSPR/SPR, (pp. 208–215). Berlin, Heidelberg. Springer Verlag.
  3. Haseeb, M. and Hancock, E. R. (2012). Unsupervised Clustering of Human Pose using Spectral Embedding. In Proceedings of Structural, Syntactic, and StatisticalPattern Recognition– Joint IAPR International Workshop, SSPR/SPR, (pp. 467–473). Berlin, Heidelberg. Springer-Verlag.
  4. Haseeb, M. and Hancock, E. R. (2011). Feature Point Matching using a Hermitian Property Matrix. In Proceedings of the First International Workshopon Similarity-BasedPatternRecognition, SIMBAD’11, (pp. 321–332). Berlin, Heidelberg. Springer-Verlag.