Intelligent System research defines the academic and professional profile of Prof. Dr. Mohd Khaled Shambour, a distinguished scholar and professor specializing in intelligent system techniques with extensive international teaching and research experience. Prof. Dr. Mohd Khaled Shambour earned his Ph.D. in Intelligent System Techniques from Universiti Sains Malaysia, Malaysia, following a Master’s degree in Computer Science from Philadelphia University, Jordan, and a Bachelor’s degree in Computer Science from Yarmouk University, Jordan, forming a strong educational foundation in advanced computing and artificial intelligence. Professionally, Prof. Dr. Mohd Khaled Shambour has served as Professor, Associate Professor, Assistant Professor, and Lecturer at leading institutions including Middle East University (Jordan), Umm Al-Qura University (Saudi Arabia), Al-Ahliyya Amman University, and the University of Hail, contributing significantly to intelligent systems engineering, research leadership, and academic development. His research interests focus on optimization techniques, meta-heuristic algorithms, data science, scheduling, and timetabling, driven by their real-world problem-solving potential. Prof. Dr. Mohd Khaled Shambour possesses advanced research skills in differential evolution, genetic algorithms, harmony search, black widow optimization, flower pollination algorithms, data mining, and intelligent decision-support systems. His awards and honors are reflected through prestigious academic appointments, leadership roles, and impactful community-oriented research projects, including intelligent systems for pilgrimage management and resource forecasting. In conclusion, Prof. Dr. Mohd Khaled Shambour stands as a visionary leader whose intelligent system expertise continues to advance research innovation, societal impact, and academic excellence globally.
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Featured Publications
Machine Learning in Medical Applications: A Review of State-of-the-Art Methods
M. Shehab et al. – Computers in Biology and Medicine, 2022 · Cited by 599
Harris Hawks Optimization Algorithm: Variants and Applications
M. Shehab et al. – Archives of Computational Methods in Engineering, 2022 · Cited by 134
Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
M. S. Daoud et al. – Archives of Computational Methods in Engineering, 2023 · Cited by 133
An Analytical Study of Mobile Applications for Hajj and Umrah Services
E. A. Khan, M. K. Y. Shambour – Applied Computing and Informatics, 2018 · Cited by 113
A Comprehensive Review of Bat-Inspired Algorithm: Variants, Applications, and Hybridization
M. Shehab et al. – Archives of Computational Methods in Engineering, 2022 · Cited by 110
Progress of IoT Research Technologies and Applications Serving Hajj and Umrah
M. K. Shambour, A. Gutub – Arabian Journal for Science and Engineering, 2022 · Cited by 96
Analysing Lecturers’ Perceptions on Traditional vs. Distance Learning During the COVID-19 Pandemic
M. K. Y. Shambour, M. A. Abu-Hashem – Education and Information Technologies, 2022 · Cited by 59
Personal Privacy Evaluation of Smart Devices Applications Serving Hajj and Umrah Rituals
M. K. Shambour, A. Gutub – Journal of Engineering Research, 2023 · Cited by 51