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Dr. Zubair Shah
Assistant Professor
Dr. Zubair Shah
Assistant Professor
Educational Qualifications
PhD in Data Science
MSc in Computer System Engineering
Entity
College of Science and Engineering
Divison
Information & Computing Technology
Biography
Dr. Zubair Shah is an Assistant Professor in the College of Science and Engineering specializing in artificial intelligence and big data analytics with a focus on health informatics. He holds an MS degree in Computer System Engineering from Politecnico di Milano, Italy, and a PhD from the University of New South Wales, Australia. Before joining HBKU, Dr. Shah was a Research Fellow at the Australian Institute of Health Innovation, Macquarie University, from 2017 to 2019.
Dr. Shah's research focuses on applying AI to healthcare, particularly in developing AI-driven applications that enhance disease diagnosis and prediction. He has secured critical funding from HBKU Innovation Center and QNRF to advance these efforts, including work on diabetes management and multimodal AI systems combining electronic health records (EHR), medical imaging, and multi-omics data. His team has developed innovative deep-learning techniques, including methods for identifying IDH mutations from histopathology slides and exploring the use of generative models like GANs and neural diffusion for medical data augmentation.
Dr. Shah has published extensively in leading international journals and conferences, and his research also explores the potential of foundation AI models in healthcare, contributing significantly to advancements in AI-powered medical diagnostics.
PhD in Data Science
University of New South Wales, Australia
2017
MSc in Computer System Engineering
Politecnico Di Milano, Italy
2011
BS in Computer Science
University of Peshawar, Pakistan
2005
- Digital Epidemiology and behavioral analysis of vaccination attitudes
- AI-driven healthcare applications
- Deep learning in medical imaging
- Generative models for medical data
Assistant Professor
College of Science and Engineering, Hamad Bin Khalifa University
2019 - Present
Research Fellow
Australian Institute of Health Innovation, Macquarie University, Australia
2017 - 2019
Lecturer
Computer Science, City University of Science and Information Technology, Pakistan
2012 - 2013
System Engineer
National Database and Registration Authority, Pakistan
2006 - 2009
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Mohsen, F., Al-Absi, H. R. H., Yousri, N. A., El Hajj, N., & Shah, Z. (2023). A scoping review of artificial intelligence-based methods for diabetes risk prediction. NPJ Digital Medicine, 6(1), 197.
Mohsen, F., Ali, H., El Hajj, N., & Shah, Z. (2022). Artificial intelligence-based methods for fusion of electronic health records and imaging data. Scientific Reports, 12(1), 17981.
Ahmad, W., Ali, H., Shah, Z., & Azmat, S. (2022). A new generative adversarial network for medical images super resolution. Scientific Reports, 12(1), 1–20.
Shah, U., Biswas, M. R., Ali, R., Ali, H., & Shah, Z. (2022). Public attitudes on social media toward vaccination before and during the COVID-19 pandemic. Human Vaccines & Immunotherapeutics, 18(6), 2101835.
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Liu, S., Shah, Z., Sav, A., Russo, C., Berkovsky, S., Qian, Y., Coiera, E., & Di Ieva, A. (2020). Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning. Scientific Reports, 10(1), 7733.
- 2016 Postgraduate Research Student Support (PRSS), UNSW, Australia
- 2014 University College Postgraduate Research Scholarship (UCPRS), UNSW, Australia
- 2009 DSU-International Postgraduate Scholarship, Politecnico di Milano, Italy
- 2005 Distinction at Department of Computer Science, University of Peshawar, Pakistan