Engr. Muhammad Mohsin Zafar

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Mohammad Mohsin Zafar
+92938281026 (Ext. 2154)
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Engr. Muhammad Mohsin Zafar


Qualifications: MS in Computer Science (PIEAS), BE Computer Software Engineering (NUST)

Research Interests: Deep CNNs, End to End Deep Models, Hybrid/Multi Loss Neural Networks, Machine Learning Pipelines and Model Deployment

Selected Publications
  1. Zafar, M. M., Rauf, Z., Sohail, A., Khan, A. R., Obaidullah, M., Khan, H. S., Khan, A., Lee, Y. S. (2021) Detection of Lymphocytes in Histopathological Images using a Two-Phase Deep CNN

(Under Review in “Photodiagnosis and Photodynamic Therapy” Journal)


  1. Khan, S., Sohail, A., Zafar, M. and Khan, A., 2021. Coronavirus Disease Analysis using Chest X-ray Images and a Novel Deep Convolutional Neural Network. Photodiagnosis and Photodynamic Therapy, p.102473.



  1. Zafar, M. M., Rauf, Z., Sohail, A., & Khan, A. (2020, November 26). Lymphocyte Annotator: CD3 + and CD8 + IHC Stained Patch Image Annotation Tool . 1–6. Institute of Electrical and Electronics Engineers (IEEE).



  1. Sohail, A., Mukhtar, M. A., Khan, A., Zafar, M. M., Zameer, A., & Khan, S. (2020). Deep Object Detection based Mitosis Analysis in Breast Cancer Histopathological Images. Retrieved from http://arxiv.org/abs/2003.08803