Mohammed Najah Mahdi
Papers
2
Total Citations
129
H-Index
2
About
Mohammed Najah Mahdi is a leading researcher at the intersection of automation technology and intelligent systems, whose work is reshaping both human resource management and environmental disaster response. His most impactful contribution, "Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management" (2022, 91 citations), demonstrates how RPA can transform HR operations by automating routine tasks, enabling cost savings, and allowing strategic focus on talent development. This work has become essential reading for practitioners seeking to navigate the digital transformation of workplace management. Equally compelling is his systematic literature review on "The Use of Swarms of Unmanned Aerial Vehicles in Mitigating Area Coverage Challenges of Forest-Fire-Extinguishing Activities" (2022, 38 citations), which addresses critical gaps in using drone swarms for wildfire suppression. By synthesizing advances in UAV coordination and coverage algorithms, Mahdi provides a roadmap for deploying autonomous aerial fleets to protect ecosystems and human lives. His research bridges theoretical frameworks with practical, life-saving applications. With over 130 combined citations, Mahdi’s work exemplifies how cross-disciplinary innovation can solve complex real-world problems, making him a vital voice in the fields of automation engineering and emergency management.
Research Focus
Key Achievements
Top Papers
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