Zia-ur-Rehman | Neuroimaging | Best Researcher Award

Published on by Neuroscientists

Mr. Zia-ur-Rehman | Neuroimaging | Best Researcher Award

Mr. Zia-ur-Rehman | University of Sultan Zainal Abidin | Pakistan

Dr. Zia-ur-Rehman is a dedicated Computer Science researcher and Ph.D. scholar at Universiti Sultan Zainal Abidin (UniSZA), Malaysia, specializing in deep learning, image processing, and computer vision, with a focus on Alzheimer’s disease diagnosis through advanced neuroimaging techniques. He has contributed significantly to the field with publications in high-impact journals such as Ain Shams Engineering Journal, Health Science Reports, and PLoS ONE, with a total of 8 published articles and 5 more under review in reputed international journals. His research outputs are well-recognized in the global academic community, reflected by his Scopus profile showing an h-index of 3, with 105 citations across 12 documents. Beyond publishing, Dr. Zia-ur-Rehman serves as a reviewer for indexed journals including Biomedical Signal Processing and Control and the International Computing and Digital Systems Journal, and as a Technical Program Committee member in international IEEE conferences in Lebanon, UAE, and Bahrain. He has also earned multiple international certifications in machine learning, research methods, and data science from leading institutions including Johns Hopkins University, Duke University, University of London, University of Amsterdam, and IBM. With a blend of teaching, research, and global academic collaborations, he continues to advance innovative solutions in artificial intelligence for healthcare applications.

Profiles: Orcid | Research Gate

Featured Publications

  • Rehman, Z.-u., Awang, M. K., Ali, G., Hamza, M., Ali, T., Ayaz, M., & Hijji, M. (2025). 3D-MobiBrainNet: Multi-class Alzheimer’s disease classification using 3D brain magnetic resonance imaging. Ain Shams Engineering Journal.

  • Rehman, Z.-u., Awang, M. K., Ali, G., & Faheem, M. (2025). Recent advancements in neuroimaging-based Alzheimer’s disease prediction using deep learning approaches in e-health: A systematic review. Health Science Reports, 8(5).

  • Rehman, Z.-u., Awang, M. K., Ali, G., & Faheem, M. (2024). Deep learning techniques for Alzheimer’s disease detection in 3D imaging: A systematic review. Health Science Reports, 7(9).

  • Rehman, Z.-u., Awang, M. K., Rashid, J., Ali, G., Hamid, M., Mahmoud, S. F., Saleh, D. I., & Ahmad, H. I. (2024). Classification of Alzheimer disease using DenseNet-201 based on deep transfer learning technique. PLOS ONE, 19(9).

  • Rehman Bathla, Z.-u. (2017). Formal specification and verification of web semantic design methodology (WSDM). International Review of Basic and Applied Sciences.

  • Rehman Bathla, Z.-u. (2017). Object oriented paradigm vs. agent oriented paradigm. International Review of Basic and Applied Sciences.

  • Rehman Bathla, Z.-u. (2017, August). Audio watermarking by hybridization of DWT-DCT. International Journal of Computer Science and Network Security (IJCSNS).

  • Rehman Bathla, Z.-u. (2015). Consumers’ trust on multinational brand (A quantitative research on Microsoft products in Sahiwal, Pakistan). Global Journal of Research in Business & Management.