Mohammed Amin Almaiah
Papers
2
Total Citations
13
H-Index
2
About
Mohammed Amin Almaiah is an emerging researcher at the intersection of artificial intelligence, Internet of Things, and smart systems technology. His scholarly work spans several cutting-edge domains, with a particular focus on applying AI and IoT frameworks to real-world administrative and mobility challenges. Almaiah's most notable contribution to date examines the transformative role of artificial intelligence in tax administration, specifically investigating how machine learning algorithms and related AI technologies can enhance the monitoring of tax payments. This work, which has garnered 11 citations since its 2024 publication, provides a comprehensive literature synthesis that bridges AI capabilities with public financial governance — a critically underexplored area with significant policy implications. His more recent research ventures into intelligent physical systems, proposing an IoT-enabled adaptive robotic navigation framework designed for smart campuses and dynamic urban mobility environments. This work addresses pressing limitations in existing navigation systems, including poor real-time adaptability and reliance on static data, positioning Almaiah as a contributor to next-generation autonomous infrastructure. With publications spanning finance technology and robotics, Almaiah demonstrates a broad interdisciplinary vision, making his work increasingly relevant for researchers, policymakers, and technologists navigating the rapidly evolving landscape of digital transformation.
Research Focus
Key Achievements
Top Papers
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