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6th Floor,

Arfa Software Technology Park, Lahore

P (042) - 111-111-ITU (488)

E muhammad.asif@itu.edu.pk
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Dr. Muhammad Asif
Assistant Professor
Department of Computer and Software Engineering
PHD Software Engineering, Beijing Institute of Technology, China
RESEARCH INTERESTS

Image processing (Image Segmentation, Image Classification, Reflection Detection, Image Enhancement), Deep Learning, Machine Learning, Generative Adversarial Network

biography

Dr. Muhammad Asif has completed his Postdoctoral fellowship at Emory University in Atlanta, Georgia, USA. He holds a Ph.D. from the Beijing Institute of Technology (BIT), China, and a Master’s degree (MS) from the National University of Science and Technology (NUST), Pakistan. Additionally, he has previous teaching experience at the National Textile University (NTU) in Faisalabad, Pakistan.

RECENT PUBLICATIONS

  • M. Khalid, M. A. Zia, and M. Asif, “A comparative study of deep learning models for early diagnosis of monkeypox and chickenpox,” IET Conference Proceedings CP917, vol. 2025, no. 3, pp. 183–190, 2025.
  • N. Bano, M. Asif, M. A. Zia, and H. M. Bilal, “Context aware facial expression recognition with deep learning architectures,” in Int. Conf. on Energy, Power, Environment, Control and Computing (ICEPECC 2025), vol. 2025, pp. 201–207, IET, 2025.
  • R. Zafar, M. A. Zia, and M. Asif, “Analysis of decision-making strategies in social networks,” in Int. Conf. on Energy, Power, Environment, Control and Computing (ICEPECC 2025), vol. 2025, pp. 306–313, IET, 2025.
  • M. A. Zia, M. Anwar, F. Mehmood, A. Razzaq, and M. Asif, “The Impact of Blockchain Technology for Evaluation of Electronic Medical Certification,” SN Computer Science, vol. 6, 2025.
  • H. M. Bilal, M. Asif, and M. A. Zia, “Comparative Study of Machine Learning Algorithms for Sentiment Analysis in Multimodal Medical Data,” [journal name not provided], 2025.
  • M. Asif, H. Song, M. A. Zia, S. Ali, E. M. Awwad, Y. Y. Ghadi, M. Al-Razgan, U. A. Bhatti, K. R. Talpur, and B. A. Talpur, “Shedding light on diagnostic precision: GANs for low light endoscopy image enhancements,” 2024.
  • M. A. Zia, A. Kanwal, M. Asif, M. Hashim, and S. Ullah, “Securing the Food Supply Chain: Harnessing Blockchain Technology for Protection and Transparency,” in 18th Int. Conf. on Management Science and Engineering Management, pp. 1462–1476, 2024.
  • R. Bano, M. A. Zia, M. Asif, A. Noureen, and A. Adnan, “Identification and Classification of Fingerprints Using Automated Deep-Learning Techniques,” in 2024 Int. Conf. on IT and Industrial Technologies (ICIT), pp. 1–5, IEEE, 2024.
  • R. Khan, S. Akbar, A. Mehmood, F. Shahid, K. Munir, N. Ilyas, M. Asif, and Z. Zheng, “A transfer learning approach for multiclass classification of Alzheimer's disease using MRI images,” Frontiers in Neuroscience, vol. 16, p. 1050777, 2023.
  • M. A. Zia, A. Akram, I. Mumtaz, M. A. Saleem, and M. Asif, “Analysis of grape leaf disease by using deep convolutional neural network,” Agricultural Sciences Journal, vol. 5, no. 1, pp. 25–36, 2023.
  • M. Asif, L. Chen, H. Song, J. Yang, and A. F. Frangi, “An automatic framework for endoscopic image restoration and enhancement,” Applied Intelligence, vol. 51, pp. 1959–1971, 2021.
  • M. Asif, H. Song, L. Chen, J. Yang, and A. F. Frangi, “Intrinsic layer based automatic specular reflection detection in endoscopic images,” Computers in Biology and Medicine, vol. 128, p. 104106, 2021.
  • M. Asif, S. A. Khan, T. Hassan, M. U. Akram, and A. Shaukat, “Generation of high resolution medical images using super resolution via sparse representation,” in Proc. of the 3rd Int. Afro-European Conf. for Industrial Advancement—AECIA 2016, pp. 288–298, Springer, 2018.
  • M. Asif, M. U. Akram, T. Hassan, A. Shaukat, and R. Waqar, “High resolution OCT image generation using super resolution via sparse representation,” in 8th Int. Conf. on Graphic and Image Processing (ICGIP 2016), vol. 10225, pp. 204–209, SPIE, 2017.
  • M. Asif and M. U. Akram, “Relative smoothness for image layer separation by second order laplacian filter,” in Proc. of the 5th Int. Conf. on Information and Education Technology, pp. 145–149, 2017.

AWARDS & HONORS

  • Keynote Speaker: 2nd International Conference on Food Security and Value Chain Systems: Challenges and Opportunities in Emerging Economies (ICFSVC 2024) December 9 - 10, 2024 at MNSUAM
  • Chinese Government Scholarship (CSC) to pursue Ph.D. in Software Engineering from Beijing Institute of Technology, Beijing, China.
  • Merit Base Scholarship and Certification from UAF on continuously getting higher grades.

AFFILIATIONS