Jazan University Department of Computer Science
ORCID: 0000-0003-4694-7323
Research Interests
Artificial Intelligence
Machine Learning
Deep Learning
Explainable AI (XAI)
Medical AI
Healthcare Data Analytics
Biomedical Signal Processing
Intelligent Systems
Professional Affiliations
- Editorial Board Member of ICP Journal
- Peer Reviewer
- Secretary of CS Department Council
- Member of Student Activity and Community Services Unit
- Member of Academic Development and Guidance Committee
- Assistant Professor
Academic Honors
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Professional Experience
2012 - Present
Assistant Professor
Teaching undergraduate courses including programming languages, database concepts, data science, information security, and project management. Supervising undergraduate research and graduation projects. Conducting high-quality research in AI/ML and publishing in reputable journals. Participating in curriculum development and academic committees. Serving as Secretary of the Computer Science Department Council.
2006 - 2008
Programmer
Developed and maintained software applications and database systems.
2025
Ph.D. in Artificial Intelligence
Ph.D. in Artificial Intelligence. Received Honor in Doctor of Philosophy.
Biography
Dr. Ali Alhazmi is an Assistant Professor in the Department of Computer Science at Jazan University, Saudi Arabia. He received his Ph.D. in Artificial Intelligence from the University of Malaya, Malaysia. His research interests include artificial intelligence, machine learning, deep learning, explainable AI, medical AI, healthcare data analytics, biomedical signal processing, and intelligent systems. He has published in leading international journals and actively serves as a reviewer for numerous peer-reviewed journals and international conferences. Dr. Alhazmi is also a member of the editorial board of international journals and is committed to advancing high-quality, ethical, and impactful research in artificial intelligence and healthcare.
Awards & Recognition
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Publications & Representative Works
Complete Bibliography
2026
Towards Sustainable Health Management in the Kingdom of Saudi Arabia: The Role of Artificial Intelligence—A Systematic Review Challenges, and Future Directions
Sustainability
2025
A Systematic Review of Advances in Deep Learning Architectures for Efficient and Sustainable Photovoltaic Solar Tracking: Research Challenges and Future Directions
Sustainability
2024
Fake-checker: A fusion of texture features and deep learning for deepfakes detection
Multimedia Tools and Applications
2024
The empirical study of tweet classification system for disaster response using shallow and deep learning models
Journal of Ambient Intelligence and Humanized Computing
2024
Smart Wheelchair Controlled Through a Vision-Based Autonomous System
IEEE Access
2024
Code-mixing unveiled: Enhancing the hate speech detection in Arabic dialect tweets using machine learning models
PLoS ONE
2024
A systematic literature review of hate speech identification on Arabic Twitter data: research challenges and future directions.
PeerJ Computer Science
2023
Machine learning-based technique for resonance and directivity prediction of UMTS LTE band quasi Yagi antenna
Heliyon
2023
TumorDetNet: A unified deep learning model for brain tumor detection and classification
PLoS ONE
2023
TumorDetNet: A unified deep learning model for brain tumor detection and classification
PLoS ONE
