Dr. Afnan Al-Ali
BIO
Dr. Afnan Al-Ali is a computer engineer and researcher whose work sits at the crossroads of artificial intelligence and healthcare. Originally from Iraq, she completed her graduate studies at the University of Basra before earning her PhD in Computing from Qatar University in 2023. With a research career spanning since 2017, she has built a strong record of scholarship in high-impact, peer-reviewed journals, alongside hands-on experience designing end-to-end AI pipelines for real-world applications. Her focus lies in interdisciplinary work that links engineering with medicine and data-driven health solutions, applying computational intelligence — from fuzzy logic to deep learning — to problems with direct clinical relevance, including disease detection and diagnostic support tools.
Academic Qualifications
- PhD in Computing, Qatar University, Qatar, 2023
- Master of Science in Computer Engineering, University of Basra, Basra, Iraq
Research Interests
- Machine Learning and Artificial Intelligence
- Data analysis
- Computer Vision and Object Tracking
- Health Informatics
- Fuzzy Logic
- Medical Image and Signal Processing
Teaching Area
- Introduction to AI (Undergraduate)
- Computer Systems (Undergraduate)
- Technology Design Project (Postgraduate)
Selected Publications
- Al-Ali, A., Hamdi, A., Elshrif, M., Isufaj, K., Shaban, K., Chauvin, P., Madathil, S., Daer, A., Tamimi, F., Ba-Hattab, R. (2025). “CLASEG: Advanced multiclassification and segmentation for differential diagnosis of oral lesions using deep learning.” Scientific Reports, 15(1), 23016. https://doi.org/10.1038/s41598-025-03268-1
- Full list of publications: https://scholar.google.com/citations?hl=en&user=wzCK5uMAAAAJ
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