Prof. Dr. Mueen Uddin | Medical Image Analysis | Research Excellence Award
Professor | University Of Doha For Science and Technology | Qatar
Dr. Mueen Uddin is an Associate Professor of Cybersecurity and Data Sciences at the University of Doha for Science & Technology (UDST), Qatar. He is an internationally recognized researcher whose work bridges cybersecurity, blockchain technologies data science artificial intelligence, and healthcare security. His scholarly contributions reflect a strong commitment to advancing secure, intelligent, and sustainable digital systems across multidisciplinary domains.Dr. Uddin has authored over 192 peer-reviewed research publications in leading international journals and conferences, including IEEE Access, IEEE Network Renewable Sustainable Energy Reviews, Sustainability and Health Informatics Journal. His research impact is evidenced by more than 7,404 citations an h-index of 43, and an i10-index of 99, underscoring the consistency quality and global relevance of his work. Several of his publications are widely cited benchmarks particularly in handwritten OCR systems medical image segmentation, blockchain for healthcare and digital twins energy-efficient data centers and IoT-enabled cybersecurity infrastructures.His research expertise spans Blockchain and Web 3.0, IoT and Cybersecurity Healthcare Security Metaverse technologies Deep Learning and Green IT systems. Dr. Uddin has played a pivotal role in advancing blockchain-based drug traceability solutions secure electronic health records intrusion detection systems and AI-driven healthcare analytics contributing directly to combating counterfeit drugs enhancing patient data security and improving diagnostic intelligence.Dr. Uddin actively collaborates with researchers across Asia Europe the Middle East and Africa fostering interdisciplinary and cross-border research initiatives. These collaborations have resulted in impactful studies addressing real-world challenges in smart cities sustainable development healthcare digitalization and intelligent network security.Beyond academia his work demonstrates strong societal and industrial relevance offering scalable secure solutions aligned with global priorities such as digital trust, sustainable computing, and resilient healthcare systems. Through high-impact research, academic leadership, and global collaboration Dr. Mueen Uddin continues to shape the future of cybersecurity and data-driven innovation worldwide.
Profiles: Scopus | ORCID | Googlescholar
Featured Publications
1.Memon, J., Sami, M., Ahmed, R., & Uddin, M. (2020). Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR). IEEE Access, 8, 142642–142668. https://doi.org/10.1109/ACCESS.2020.3012542. Cited By : 730
2.Norouzi, A., Rahim, M. S. M., Altameem, A., Saba, T., Rad, A. E., Rehman, A., & Uddin, M. (2014). Medical image segmentation methods, algorithms, and applications. IETE Technical Review, 31(3), 199–213. https://doi.org/10.1080/02564602.2014.906861. Cited By : 440
3.Uddin, M., & Rahman, A. A. (2012). Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics. Renewable and Sustainable Energy Reviews, 16(6), 4078–4094. https://doi.org/10.1016/j.rser.2012.03.002. Cited By : 318
4.Yaqoob, M. I. I., Salah, K., Uddin, M., Jayaraman, R., & Omar, M. (2020). Blockchain for digital twins: Recent advances and future research challenges. IEEE Network, 34(5), 290–298. https://doi.org/10.1109/MNET.2020.9225779. Cited By : 291
5.Uddin, M. (2021). Blockchain MedLedger: Hyperledger Fabric–enabled drug traceability system for counterfeit drugs in pharmaceutical industry. International Journal of Pharmaceutics, 597, 120235. https://doi.org/10.1016/j.ijpharm.2021.120235. Cited By : 273
