Usman Ghous

  • Department of Computer Science
  • (041) 111-128-128
  • Ext: 180


Ch. Usman Ghous belongs to the pioneer batch of the campus and has done his Bachelor’s and Masters from CFD. Currently, he is pursuing his PhD from FAST CFD where his specialization is in Hyperspectral Imaging and Machine Learning. He is also an integral part of various student societies and actively participates in organizing national-level events.


Doctor of Philosophy (Computer Science) Present

FAST- NUCES Islamabad

Masters in Computer Science (Major: Recommender Systems), 2019
FAST- NUCES Chiniot Faisalabad

Bachelor of Science in Computer Science, 2016

FAST- NUCES Chiniot Faisalabad


HEC Recognized Impact factor publications

Usman Ghous, Muhammad Shahzad Sarfraz, Muhammad Ahmad, Chenyu Li, Danfeng Hong, “(2+1) D Extreme Xception Net for Hyperspectral Image Classification”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Earth and planetary sciences PP (99):1-14, (IF :5.5), January 2024.

M. Ahmad, U. Ghous, M. Usama and M. Mazzara, “WaveFormer: Spectral–Spatial Wavelet Transformer for Hyperspectral Image Classification,”  IEEE Geoscience and Remote Sensing Letters (IF. 4.8), vol. 21, pp. 1-5, 2024, Art no. 5502405, doi: 10.1109/LGRS.2024.3353909.

M. Ahmad, U. Ghous, D. Hong, A. M. Khan, J. Yao, S. Wang, and J. Chanussot, “ A Disjoint Samples-based 3D-CNN with Active Transfer Learning for Hyperspectral Image Classification”, IEEE Transactions on Geoscience and Remote Sensing, (early access), (IF. 8.125), 2022.


  1. Complementary product recommendation system. IFORS 2020.

Collaborations at National and International Level

Detail of Funded Projects