Faculty Profiles

Dr. Safi Ullah

Designation : Lecturer
Specialization : Science

Email : [email protected]


During my MSCS, I worked on Self Correcting Images. In PhD I worked on Single Image Super-Resolution. In PhD, we specifically addressed zero padding issue in image super-resolution. we proposed an adaptive compensation technique for zero padding in the Residual Networks. I also worked on optimal samples selection from a huge dataset to constitute a suitable training set (Note that training set is one of the major potential cause for poor network generalization). Currently, I am working on medical image segmentation.

  • SSC,Bise, Bannu
  • FSc,Bise, Bannu
  • BSc,Gomal University
  • MSc,Kust
  • MSCS,National University of Computer And Emerging Sciences, Islamabad
  • 1. Safi Ullah, Seong-Ho Song “SRResNet Performance Enhancement Using Patch Inputs and Partial Convolution-Based Padding” Cmc-Computers Materials & Continua, June 2022 DOI: