Faculty Profiles

Muhammad Attique

Designation : Assistant Professor
Specialization : Computer Science

Email : [email protected]

Muhammad Attique was born in Bahawalpur, Punjab, Pakistan. He received the M.Sc. and M.S. degrees in computer science from the Islamia University of Bahawalpur. He has extensive experience working in multinational organizations and serves at various designative levels. He is currently an Assistant Professor with the Department of Information Technology, Faculty of Computing and Information Technology, University of Gujrat, Pakistan. He is the author of several journal articles. His research interests include digital image processing, pattern recognition, machine learning, neural networks, and deep learning, and data science.

  • Area of Interest

    • Artificial Neural Networks and Deep Learning
    • Artificial Intelligence and Machine Learning
    • Digital Image Processing
    • Computer Vision
    • Pattern Recognition
    • Data Science
  • MS,The Islamia University of Bahawalpur
  • MSc,The Islamia University of Bahawalpur
  • 1. Muhammad Attique, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan “DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes” Computational Biology And Chemistry, April 2023 DOI:
  • 2. Wajdi Alghamdi, Muhammad Attique, Ebraheem Alzahrani, Malik Zaka Ullah, Yaser Daanial Khan “LBCEPred: a machine learning model to predict linear B-cell epitopes” Briefings In Bioinformatics, March 2022 DOI:
  • 3. Fahad Alotaibi, Muhammad Attique, Yaser Daanial Khan “AntiFlamPred: An Anti-Inflammatory Peptide Predictor for Drug Selection Strategies” Cmc-Computers Materials & Continua, June 2021 DOI:
  • 4. Muhammad Attique, Muhammad Shoaib Farooq, Adel Khelifi, Adnan Abid “Prediction of Therapeutic Peptides Using Machine Learning: Computational Models, Datasets, and Feature Encodings” Ieee Access, August 2020 DOI:
  • 5. Ghulam Gilanie, Muhammad Attique, Shahid Naweed, Ejaz Ahmed, Masroor Ikram “Object extraction from T2 weighted brain MR image using histogram based gradient calculation” Pattern Recognition Letters, September 2013 DOI:
  • 6. H Ullah, G Gilanie, M Attique, MY Hamza, M Ikram “M-mode swept source optical coherence tomography for quantification of salt concentration in blood: An in vitro study” Laser Physics, April 2012 DOI:
  • 7. Muhammad Attique, Ghulam Gilanie, Malik S Mehmood, Muhammad S Naweed, Masroor Ikram, Javed A Kamran, Alex Vitkin “Colorization and automated segmentation of human T2 MR brain images for characterization of soft tissues” Plos One, March 2012 DOI: