Mohd Khaled Shambour | Computational Science | Research Excellence Award

Prof. Mohd Khaled Shambour | Computational Science | Research Excellence Award

Middle East University | Jordan

Mohd-Khaled Yousef Shambour is a Jordanian professor specializing in Intelligent System Techniques, optimization, and artificial intelligence. He holds a PhD in Intelligent Systems and advanced degrees in computer science, with extensive academic, research, and teaching experience across Jordan and Saudi Arabia. His research focuses on meta-heuristic and evolutionary optimization, data science, scheduling, and deep learning, with strong applications to large-scale real-world problems such as transportation, airport slot scheduling, resource allocation, and mega-event management. He has led and contributed to impactful community-oriented research, particularly in improving services for pilgrims during Hajj and Umrah using AI and data analytics. Prof. Shambour has published widely in high-quality international journals and conferences and serves as an associate editor and reviewer for leading scientific publishers. An experienced educator, he teaches courses spanning AI, machine learning, optimization, data analytics, and programming, and actively contributes to academic service, professional societies, and community development.

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Featured Publications

Marwan | AI Advancements | Excellence in Research

Dr. Marwan | AI Advancements | Excellence in Research

Dr. Marwan | King Faisal University | Saudi Arabia

The applicant is an accomplished scholar in Computer Information Systems with specialized expertise in Artificial Intelligence and Data Science, supported by extensive experience in academia, research, and innovation. Over more than a decade of university-level teaching and research, the applicant has contributed significantly to advancing intelligent systems, machine learning applications, IoT security, biomedical imaging, and pattern recognition. Their doctoral work introduced a novel model for Arabic handwritten text recognition, forming the foundation for a strong research career in AI-driven language and image processing technologies. The applicant has authored and co-authored numerous impactful, refereed journal publications in well-recognized international outlets such as Sustainability, IJACSA, Traitement du Signal, and the Journal of Ayub Medical College. Research contributions span cancer therapy enhancement, anomaly detection, cephalometric landmark detection, multiple sclerosis classification, industrial IoT security, biometric iris recognition, palm disease classification, and Arabic word recognition. Several works have been indexed in Scopus and other reputable databases, with active collaborations involving interdisciplinary and multinational research teams. Beyond publications, the applicant has secured competitive research funding, including a grant supporting the development of a weighted-voting IoT security model targeting BASHLITE and Mirai cyberattacks. Ongoing research activities include hybrid deep learning systems for intrusion detection, medical image analysis, human nail disease diagnosis, music-brain interactions, and predicate-logic-based machine translation. The applicant has demonstrated strong academic service through extensive peer-reviewing, participation in scientific councils, and membership in research committees. Their professional development includes participation in conferences, training programs, and workshops focused on e-learning, scientific publishing, and advanced teaching strategies. Recognized for excellence, the applicant has received awards such as the Distinguished Scientific Research Award and the Outstanding International Publishing Award, reflecting sustained research quality and global scholarly impact. Their overall portfolio showcases a balanced blend of innovative research, academic leadership, and contributions to the AI and data science community.

Profiles: Scopus 

Featured Publications

Siddiqi, M. H., Alhwaiti, Y., Elaiwat, S., & Abu-Zanona, M. (2024). Dynamic healing process analysis: Image morphing with warping technique for nose and esophagus studies. The International Arab Journal of Information Technology, 21(3). (Accepted December 26, 2023).