Associate Professor of Artificial Intelligence at CS Dept. and Vice-Dean for Postgraduate Studies, Research, Innovation, and Quality, Saudi Arabia
🎓 Dr. Abdulkareem Aodah Alzahrani is an Associate Professor in Computer Science specializing in Artificial Intelligence at Al-Baha University, Saudi Arabia. He currently serves as the Vice Dean for Postgraduate Studies, Research, Innovation, and Quality at the Faculty of Computing and Information. With a career spanning over 16 years, Dr. Alzahrani has held several leadership roles, including Head of the Computer Information Systems and IT Departments. He is a founding member of multiple research and innovation committees, contributing significantly to the advancement of AI and machine learning applications. 🌟
Publication Profile
Google Scholar
Education
📚 Dr. Alzahrani earned his Ph.D. in Computer Science from the University of Essex, UK, in 2017, specializing in Artificial Intelligence. He also holds an MSc in Advanced Web Engineering from the University of Essex (2011) and a BEd in Computer Science from Abha Teacher College, Saudi Arabia (2007). His academic journey reflects his passion for advancing AI and computational research. 🌍
Experience
💼 Dr. Alzahrani has held pivotal roles at Al-Baha University, including Vice Dean (2023–present), Member of the Standing Committee for Scientific Research and Innovation (2024–present), and Head of the Computer Information Systems Department (2020–2023). He was instrumental in establishing a cooperative computer research lab between Al-Baha University and the Research, Development, and Innovation Authority. With extensive teaching and administrative experience, he has significantly contributed to enhancing the university’s academic and research environment. 🌐
Awards and Honors
🏅 Dr. Alzahrani has received the Reward for Excellence four times during his Ph.D. studies, awarded by the Saudi Arabian Cultural Bureau in London. Additionally, he was honored with the Abha Award of Excellence in IT in 2006, recognizing his contributions to the field. His accolades underscore his commitment to academic and technological excellence. 🏆
Research Focus
🔍 Dr. Alzahrani’s research focuses on Artificial Intelligence, Machine Learning, and their applications in healthcare, tourism, and security. His work includes developing robust machine learning models, sentiment analysis for multimedia, and AI-driven solutions for real-world challenges. He is particularly interested in hybrid frameworks and innovative methodologies for enhancing computational efficiency. 🤖
Conclusion
🌟 Dr. Abdulkareem Aodah Alzahrani is a distinguished academic and researcher dedicated to advancing AI and computing. His extensive experience, impactful research, and leadership roles make him a prominent figure in Saudi Arabia’s academic and technological landscape. 🚀
Publications
AI-Driven Innovations in Tourism: Developing a Hybrid Framework for the Saudi Tourism Sector (2025) – AI, 6.1, DOI:10.3390/ai6010007.
Cited by: 7.
A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Based on Hassanat Distance Metric (2024) – DOI:10.21203/rs.3.rs-4492948/v1.
Cited by: 10.
A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance Metric (2024) – Mathematics, 12.22, DOI:10.3390/math12223623.
Cited by: 15.
Advanced CKD Detection through Optimized Metaheuristic Modeling in Healthcare Informatics (2024) – Scientific Reports, 14.1, DOI:10.1038/s41598-024-63292-5.
Cited by: 20.
DeepSVDNet: A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images (2024) – Computer Systems Science and Engineering, 48.2, DOI:10.32604/csse.2023.039672.
Cited by: 25.
Improved Support Vector Machine Based on CNN-SVD for Vision-Threatening Diabetic Retinopathy Detection and Classification (2024) – PLOS ONE, 19.1, DOI:10.1371/journal.pone.0295951.
Cited by: 18.
Aspect-Based Sentiment Analysis for Social Multimedia: A Hybrid Computational Framework (2023) – Computer Systems Science and Engineering, 46.2, DOI:10.32604/csse.2023.035149.
Cited by: 30.
Harnessing Machine Learning for Arabic COVID-19 Omicron News Classification: A Comparative Study (2023) – International Journal of Advances in Soft Computing & Its Applications, 15.2.
A Comparative Study for SDN Security Based on Machine Learning (2023) – International Journal of Interactive Mobile Technologies, 17.11, DOI:10.3991/ijim.v17i11.39065.
Cited by: 12.
Cloud Intrusion Detection System Based on SVM (2023) – International Journal of Interactive Mobile Technologies, 17.11, DOI:10.3991/ijim.v17i11.39063.
Cited by: 14.