Effat University | Saudi Arabia
PUBLICATION PROFILE
INTRODUCTION 🌟
Dr. Eng. Abdulaziz Turki Almaktoom is a highly distinguished academic and professional in the fields of Operations and Supply Chain Management. Holding a Ph.D. in Industrial Engineering, Dr. Almaktoom is known for his exceptional leadership, consultancy expertise, and a profound impact in higher education. As an Associate Professor and Chair of the Business Administration Department at Effat University, he has not only contributed to the academic sphere but also played an integral role in shaping the future of education in Saudi Arabia. His diverse skills span across Operations Management, Supply Chain Management, Data Analytics, Project Management, Risk Management, and many more.
EARLY ACADEMIC PURSUITS 📚
Dr. Almaktoom’s academic journey began with a keen interest in engineering and operations, leading him to pursue a Bachelor’s in Engineering Technology at Riyadh College of Technology. He continued to excel in his studies, earning a Master’s degree in Engineering Technology from Pittsburg State University, USA, before pursuing a Ph.D. in Industrial Engineering from Wichita State University, USA. His doctoral research focused on the reliability, robustness, and resilience of complex supply chain systems, showcasing his deep commitment to innovative solutions in operations.
PROFESSIONAL ENDEAVORS 💼
Dr. Almaktoom’s career is marked by a seamless blend of academia and industry. He has held significant roles such as Associate Professor, Chair of the Business Administration Department at Effat University, and Consultant for several prestigious firms in Saudi Arabia. His expertise spans across Project Management (PMP®), Risk Management (RMP®), Lean Six Sigma, and Supply Chain Analysis (CSCA®), making him a sought-after figure in both the education and business sectors. His contributions have led to the development of cutting-edge programs and curricula, helping shape future leaders in business administration and engineering.
CONTRIBUTIONS AND RESEARCH FOCUS 🔍
Dr. Almaktoom’s research interests lie primarily in Operations and Supply Chain Management, with a focus on optimization techniques, systems simulation, forecasting, lean and six sigma, and quality control. He has published over 50 scientific articles in renowned international journals and conferences, contributing significantly to the field’s knowledge base. Dr. Almaktoom is particularly known for leveraging advanced methodologies like Artificial Intelligence, Metaheuristics, and Data Analytics to drive forward-thinking solutions in supply chain management.
IMPACT AND INFLUENCE 🌍
Through his innovative approach to curriculum design and leadership, Dr. Almaktoom has created a lasting impact on the education sector. He has been instrumental in the development of new programs, including Ph.D. and B.Sc. degrees in Operations and Supply Chain Management and Entrepreneurship. His influence extends beyond academia through his involvement with various organizations like the IEOM Society International and his role as an advisor and mentor to numerous students, helping them succeed both academically and professionally. His research and teaching continue to inspire students and professionals alike.
ACADEMIC CITATIONS AND PUBLICATIONS 📖
Dr. Almaktoom has gained significant recognition in the academic world for his publications, which have earned him numerous citations. Ranked among the top 20 scientists in Decision Science and Operations Management in Saudi Arabia in 2024, his work continues to influence both the academic and professional communities. His research papers, especially those related to supply chain optimization and risk management, have been highly regarded and cited by peers in the industry.
HONORS & AWARDS 🏆
Throughout his career, Dr. Almaktoom has received numerous prestigious awards. These include being recognized as the Best Graduate Student at Wichita State University in 2015, the recipient of multiple international honors, and being ranked among the top scientists in Saudi Arabia in 2024. His accolades also include recognition for his academic excellence, including awards such as the Alpha Pi Mu Industrial Engineering Honor Society and membership in various elite organizations such as the Golden Key International Honor Society.
LEGACY AND FUTURE CONTRIBUTIONS 🌱
Dr. Almaktoom’s work has already established a strong legacy in the academic and professional sectors. His pioneering role in developing innovative programs and guiding students to success continues to set a high standard for excellence. Looking forward, he aims to further contribute to the research and development of sustainable and efficient solutions in operations and supply chain management, particularly through emerging technologies like AI and machine learning.
FINAL NOTE ✨
Dr. Abdulaziz Turki Almaktoom’s career exemplifies the power of dedication, innovation, and leadership in academia and industry. With a robust track record of impactful contributions in education, research, and professional development, Dr. Almaktoom’s legacy will undoubtedly continue to inspire future generations of students, researchers, and professionals across the globe. His forward-thinking approach and commitment to excellence ensure that his influence will resonate for years to come.
TOP NOTES PUBLICATIONS 📚
Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things
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Authors: A. Sasikumar, L. Ravi, M. Devarajan, A. Selvalakshmi, A.T. Almaktoom, A.S. Almazyad, G. Xiong, A.W. Mohamed
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Journal: IEEE Access
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Year: 2024
Corrections to “Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things”
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Authors: A. Sasikumar, L. Ravi, M. Devarajan, A. Selvalakshmi, A.T. Almaktoom, A.S. Almazyad, G. Xiong, A.W. Mohamed
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Journal: IEEE Access
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Year: 2024
Deep Reinforcement Learning for Multiobjective Scheduling in Industry 5.0 Reconfigurable Manufacturing Systems
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Authors: M. Bezoui, A. Kermali, A. Bounceur, S.M. Qaisar, A.T. Almaktoom
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Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Year: 2024
Hybrid Metaheuristics for Industry 5.0 Multi-Objective Manufacturing and Supply Chain Optimization
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Authors: M. Bezoui, A.T. Almaktoom, A. Bounceur, S.M. Qaisar, M. Chouman
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Journal: 21st International Learning and Technology Conference: Reality and Science Fiction in Education, L and T 2024
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Year: 2024
Multiple criteria decision-making for determining the optimal wind farm site under uncertainty