Dr. Muhammad Asif

Assistant Professor

PHD Software Engineering, Beijing Institute of Technology, China

  • muhammad.asif@itu.edu.pk

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.

  • [1]      M. A. Zia, M. Anwar, F. Mehmood, A. Razzaq, and M. Asif, “The Impact of Blockchain Technology for Evaluation of Electronic Medical Certification,” SN Comput. Sci., vol. 6, 2025.
  • [2]      N. Bano, M. Asif, M. A. Zia, and H. M. Bilal, “Context aware facial expression recognition with deep learning architectures,” in International Conference on Energy, Power, Environment, Control and Computing (ICEPECC 2025), 2025, pp. 201–207.
  • [3]      M. Khalid, M. A. Zia, and M. Asif, “A comparative study of deep learning models for early diagnosis of monkeypox and chickenpox,” in IET Conference Proceedings CP917, 2025, pp. 183–190.
  • [4]      M. A. Zia, M. Anwar, F. Mehmood, A. Razzaq, and M. Asif, “The Impact of Blockchain Technology for Evaluation of Electronic Medical Certification,” SN Comput. Sci., vol. 6, 2025.
  • [5]      H. M. Bilal, M. Asif, and M. A. Zia, “Comparative Study of Machine Learning Algorithms for Sentiment Analysis in Multimodal Medical Data,” 2025.
  • [6]      R. Zafar, M. A. Zia, and M. Asif, “Analysis of decision-making strategies in social networks,” in International Conference on Energy, Power, Environment, Control and Computing (ICEPECC 2025), 2025, pp. 306–313.
  • [7]      N. Bano, M. Asif, M. A. Zia, and H. M. Bilal, “Context aware facial expression recognition with deep learning architectures,” in International Conference on Energy, Power, Environment, Control and Computing (ICEPECC 2025), 2025, pp. 201–207.
  • [8]      M. Asif, M. A. Zia, and M. Hashim, “Shedding light on diagnostic precision: GANs for low light endoscopy image enhancements,” in International Conference on Management Science and Engineering Management, 2025, pp. 447–459.
  • [9]      R. Zafar, M. A. Zia, and M. Asif, “Analysis of decision-making strategies in social networks,” in International Conference on Energy, Power, Environment, Control and Computing (ICEPECC 2025), 2025, pp. 306–313.
  • [10]    H. M. Bilal, M. Asif, and M. A. Zia, “Comparative Study of Machine Learning Algorithms for Sentiment Analysis in Multimodal Medical Data,” 2025.
  • [11]    M. Asif, M. A. Zia, and M. Hashim, “Shedding light on diagnostic precision: GANs for low light endoscopy image enhancements,” in International Conference on Management Science and Engineering Management, 2025, pp. 447–459.
  • [12]    M. Khalid, M. A. Zia, and M. Asif, “A comparative study of deep learning models for early diagnosis of monkeypox and chickenpox,” in IET Conference Proceedings CP917, 2025, pp. 183–190.
  • [13]    M. A. M. H. S. U. . Muhammad Azam Zia Amna Kanwal, “Securing the Food Supply Chain: Harnessing Blockchain Technology for Protection and Transparency,” in The Eighteenth International Conference on Management Science and Engineering Management, 2024, pp. 1462–1476.
  • [14]    R. Bano, M. A. Zia, M. Asif, A. Noureen, and A. Adnan, “Identification and Classification of Fingerprints Using Automated Deep-Learning Techniques,” in 2024 International Conference on IT and Industrial Technologies (ICIT), 2024, pp. 1–5.
  • [15]    R. Bano, M. A. Zia, M. Asif, A. Noureen, and A. Adnan, “Identification and Classification of Fingerprints Using Automated Deep-Learning Techniques,” in 2024 International Conference on IT and Industrial Technologies (ICIT), 2024, pp. 1–5.
  • [16]    M. A. M. H. S. U. . Muhammad Azam Zia Amna Kanwal, “Securing the Food Supply Chain: Harnessing Blockchain Technology for Protection and Transparency,” in The Eighteenth International Conference on Management Science and Engineering Management, 2024, pp. 1462–1476.
  • [17]    R. Khan et al., “A transfer learning approach for multiclass classification of Alzheimer’s disease using MRI images,” Front. Neurosci., vol. 16, p. 1050777, 2023.
  • [18]    M. A. Zia, A. Akram, I. Mumtaz, M. A. Saleem, and M. Asif, “Analysis of grape leaf disease by using deep convolutional neural network.,” 2023.
  • [19]    R. Khan et al., “A transfer learning approach for multiclass classification of Alzheimer’s disease using MRI images,” Front. Neurosci., vol. 16, p. 1050777, 2023.
  • [20]    M. A. Zia, A. Akram, I. Mumtaz, M. A. Saleem, and M. Asif, “Analysis of grape leaf disease by using deep convolutional neural network.,” 2023.
  • [21]    M. Asif, L. Chen, H. Song, J. Yang, and A. F. Frangi, “An automatic framework for endoscopic image restoration and enhancement,” Appl. Intell., vol. 51, no. 4, pp. 1959–1971, 2021.
  • [22]    M. Asif, L. Chen, H. Song, J. Yang, and A. F. Frangi, “An automatic framework for endoscopic image restoration and enhancement,” Appl. Intell., vol. 51, no. 4, pp. 1959–1971, 2021.
  • [23]    M. Asif, H. Song, L. Chen, J. Yang, and A. F. Frangi, “Intrinsic layer based automatic specular reflection detection in endoscopic images,” Comput. Biol. Med., vol. 128, p. 104106, 2021.
  • [24]    M. Asif, H. Song, L. Chen, J. Yang, and A. F. Frangi, “Intrinsic layer based automatic specular reflection detection in endoscopic images,” Comput. Biol. Med., vol. 128, p. 104106, 2021.
  • [25]    M. Asif, M. U. Akram, T. Hassan, A. Shaukat, and R. Waqar, “High resolution OCT image generation using super resolution via sparse representation,” in Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 2017, pp. 204–209.
  • [26]    M. Asif, M. U. Akram, T. Hassan, A. Shaukat, and R. Waqar, “High resolution OCT image generation using super resolution via sparse representation,” in Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 2017, pp. 204–209.
  • [27]    M. Asif and M. U. Akram, “Relative smoothness for image layer separation by second order laplacian filter,” in Proceedings of the 5th International Conference on Information and Education Technology, 2017, pp. 145–149.
  • [28]    M. Asif and M. U. Akram, “Relative smoothness for image layer separation by second order laplacian filter,” in Proceedings of the 5th International Conference on Information and Education Technology, 2017, pp. 145–149.
  • [29]    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 International Afro-European Conference for Industrial Advancement, 2016, pp. 288–298.
  • [30]      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 International Afro-European Conference for Industrial Advancement, 2016, pp. 288–298.

  • Merit Base Scholarship and Certification from University of Agriculture Faisalabad on continuously getting higher grades from 4 semesters.
  • Chinese Government Scholarship (CSC) to pursue Ph.D. in Software Engineering from Beijing Institute of Technology, Beijing, China.