Dr Saleh Musleh
Academic Assistant
(Faculty of Modern & Technological Sciences)
About: Introduction
Dr. Saleh Musleh is a faculty member at The National University of Malaysia – Qatar (UKM-Qatar), serving within the Faculty of Modern & Technological Sciences. He brings extensive professional experience in IT operations and services, complemented by a strong academic and research background in Artificial Intelligence, Machine Learning, Data Science, and Bioinformatics.
Dr. Saleh pursued his postgraduate studies at Hamad Bin Khalifa University (HBKU) in Qatar, where his research focused on applying advanced computational and machine learning techniques to healthcare and biomedical challenges.
His research portfolio includes work on machine learning and deep learning, biomedical data analysis, medical imaging, bioinformatics, and AI-driven healthcare applications. His published research has addressed areas such as diabetic retinopathy, cancer survival prediction, RNA analysis, bone health assessment, and computational methods for disease detection.
Combining extensive IT industry experience with academic research and teaching, Dr. Saleh brings a practical and interdisciplinary perspective to technology education, with a particular interest in leveraging AI and data-driven solutions to address real-world challenges.
Contact Information
Academic Qualifications
- Ph.D. in Computer Science and Engineering – Hamad Bin Khalifa University, Doha, Qatar (Dec 2024).
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M.S. in Computer Science – University of Wyoming, USA
M.S. in Data Science and Engineering – Hamad Bin Khalifa University, Qatar" - B.S. in Computer Engineering – University of New Mexico, USA (May 1987).
Field of Study (for highest qualification)
- Computer Science & Engineering
Research Area/ Expertise
- Data Science
- Blockchain
- Cloud Solutions
- Computational Bioinformatics
- Machine Learning





