Dr. Sajid Saleem

Contact me

  •   Department of Electrical Engineering
  •   051 9265100 Ext: 2063
  •   sjsaleem@numl.edu.pk

Dr. Sajid Saleem

Assistant Professor (ELECTRICAL ENGINEERING)

PHD Engineering, Vienna University of Technology, Austria (2014)
MS Electrical Engineering, University of Engineering and Technology,  Peshawar, Pakistan (2009)
BSc Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan (2006)

Assistant Professor in Department of Electrical Engineering at National University of Modern Languages, Islamabad
From August 2016 till DATE

Assistant Professor in Department of Electrical Engineering at University of Wah
From March 2015 till August 2016

 

  1. Sajid Saleem, A. Bais, and R. Sablatnig, Towards Feature Points based Image Matching Between Satellite Imagery and Aerial Photographs of Agriculture Land, Elsevier Journal of Computers and Electronics in Agriculture, 126: 12—20, 2016. (Impact Factor = 1.761)
  2. Sajid Saleem and R. Sablatnig. A robust SIFT descriptor for multi-spectral images. IEEE Signal Processing Letters (SPL), 21(4):400-403, 2014. (Impact Factor = 1.639)
  3. F. Hollaus, A. Camba, S. Fiel, Sajid Saleem, and R. Sablatnig, Manuscript Investigation in the Sinai II Project, Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP), Veliko Tarnovo, Bulgaria, 2014.
  4. Sajid Saleem, F. Hollaus, M. Diem, and R. Sablatnig. Recognizing Glagolitic Characters in Degraded Historical Documents. In Proceedings of the 14th IEEE International Conference on Frontiers in Handwriting Recognition (ICFHR), Crete Island, Greece, September 2014.
  5. Sajid Saleem, A. Bias, and Robert Sablatnig. A Gradient Extension of Center Symmetric Local Binary Patterns for Robust RGB-NIR Image Matching, Proc. of 22nd IEEE International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, August 2014.
  6. Sajid Saleem, F. Hollaus, and R. Sablatnig. Recognition of degraded ancient characters based on Dense SIFT. International Conference on Digital Access to textural Cultural Heritage (DATecH), pages 15-20, 2014.
  7. Sajid Saleem and R. Sablatnig. Interest region description using local binary pattern of gradients. Scandinavian Conferences on Image Analysis (SCIA), pages 468-477, 2013.
  8. Sajid Saleem and R. Sablatnig. A modified SIFT descriptor for image matching under spectral variations. International Conference on Image Analysis and Processing (ICIAP), pages 652-661, 2013.
  9. Sajid Saleem, A. Bais, and R. Sablatnig. A performance evaluation of SIFT and SURF for multi-spectral image matching. In Image Analysis and Recognition (ICIAR), pages 166-173. 2012.
  10. Sajid Saleem, A. Bais, Y. M. Khawaja. Updating Farmland Satellite Imagery Using High Resolution Aerial Images. Frontiers of Information Technology (FIT), page 133-136, 2011.
  11. Sajid Saleem, A. Bais, Y. M. Khawaja. Registering aerial photographs of farmland with satelliteimagery. 17th IEEE International Conference on Image Processing (ICIP), pages 945-948, 2010.
  1. IMAGE PROCESSING,
  2. COMPUTER VISION AND
  3. MACHINE LEARNING

Education

PHD Engineering, Vienna University of Technology, Austria (2014)
MS Electrical Engineering, University of Engineering and Technology,  Peshawar, Pakistan (2009)
BSc Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan (2006)

Experience

Assistant Professor in Department of Electrical Engineering at National University of Modern Languages, Islamabad
From August 2016 till DATE

Assistant Professor in Department of Electrical Engineering at University of Wah
From March 2015 till August 2016

 

Publications

  1. Sajid Saleem, A. Bais, and R. Sablatnig, Towards Feature Points based Image Matching Between Satellite Imagery and Aerial Photographs of Agriculture Land, Elsevier Journal of Computers and Electronics in Agriculture, 126: 12—20, 2016. (Impact Factor = 1.761)
  2. Sajid Saleem and R. Sablatnig. A robust SIFT descriptor for multi-spectral images. IEEE Signal Processing Letters (SPL), 21(4):400-403, 2014. (Impact Factor = 1.639)
  3. F. Hollaus, A. Camba, S. Fiel, Sajid Saleem, and R. Sablatnig, Manuscript Investigation in the Sinai II Project, Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP), Veliko Tarnovo, Bulgaria, 2014.
  4. Sajid Saleem, F. Hollaus, M. Diem, and R. Sablatnig. Recognizing Glagolitic Characters in Degraded Historical Documents. In Proceedings of the 14th IEEE International Conference on Frontiers in Handwriting Recognition (ICFHR), Crete Island, Greece, September 2014.
  5. Sajid Saleem, A. Bias, and Robert Sablatnig. A Gradient Extension of Center Symmetric Local Binary Patterns for Robust RGB-NIR Image Matching, Proc. of 22nd IEEE International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, August 2014.
  6. Sajid Saleem, F. Hollaus, and R. Sablatnig. Recognition of degraded ancient characters based on Dense SIFT. International Conference on Digital Access to textural Cultural Heritage (DATecH), pages 15-20, 2014.
  7. Sajid Saleem and R. Sablatnig. Interest region description using local binary pattern of gradients. Scandinavian Conferences on Image Analysis (SCIA), pages 468-477, 2013.
  8. Sajid Saleem and R. Sablatnig. A modified SIFT descriptor for image matching under spectral variations. International Conference on Image Analysis and Processing (ICIAP), pages 652-661, 2013.
  9. Sajid Saleem, A. Bais, and R. Sablatnig. A performance evaluation of SIFT and SURF for multi-spectral image matching. In Image Analysis and Recognition (ICIAR), pages 166-173. 2012.
  10. Sajid Saleem, A. Bais, Y. M. Khawaja. Updating Farmland Satellite Imagery Using High Resolution Aerial Images. Frontiers of Information Technology (FIT), page 133-136, 2011.
  11. Sajid Saleem, A. Bais, Y. M. Khawaja. Registering aerial photographs of farmland with satelliteimagery. 17th IEEE International Conference on Image Processing (ICIP), pages 945-948, 2010.

Interests

  1. IMAGE PROCESSING,
  2. COMPUTER VISION AND
  3. MACHINE LEARNING