Dr. Hamada Al-Absi

Senior Lecturer Computing Science (AI)

BIO

Dr. Hamada Al-Absi is a dedicated researcher and academic specializing in the application of technology to solve real-world problems, particularly in healthcare. He holds a PhD in Computer Science and Engineering from Hamad Bin Khalifa University and has developed a strong expertise in data science, artificial intelligence, and computer vision.

His research focuses on creating innovative solutions for disease diagnosis and prediction, leveraging machine learning and deep learning techniques. Dr. Al-Absi is also a passionate educator, committed to teaching the next generation of tech professionals in areas such as database design, big data analytics, and AI in healthcare.

Academic Qualifications

PhD in Computer Science and Engineering, Hamad Bin Khalifa University, 2023
Graduate Certificate in Learning and Teaching (Higher Education), Swinburne University of Technology, 2017
MSc in Information Technology (By Research), Universiti Teknologi PETRONAS, 2010
BTech (Hons) in Information & Communication Technology, Universiti Teknologi PETRONAS, 2009

Research Interests

Computer Science & Data Science
Artificial Intelligence in Healthcare
Computer Vision & Natural Language Processing

Teaching Area

Database Analysis & Design
Big Data Architecture and Application
AI and Machine Learning in Healthcare

Selected Publications

Mohsen, F., Al-Absi, H.R.H., Yousri, N.A. et al. (2023). A scoping review of artificial intelligence-based methods for diabetes risk prediction. npj Digit. Med., 6, 197.
Al-Absi, H.R.H., Pai, A., Naeem, U. et al. (2024). DiaNet v2 deep learning based method for diabetes diagnosis using retinal images. Sci Rep, 14, 1595.
Alam, T., Al-Absi, H. R., & Schmeier, S. (2020). Deep Learning in LncRNAome: Contribution, Challenges, and Perspectives. Non-coding RNA, 6(4), 47.
AlMulla, J., Islam, M. T., Al-Absi, H. R., & Alam, T. (2023). SoccerNet: A Gated Recurrent Unit-based model to predict soccer match winners. Plos one, 18(8).
Al-Absi, H. R., Islam, M. T., Refaee, M. A., Chowdhury, M. E., & Alam, T. (2022). Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep
Learning. Sensors, 22(12), 4310.

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