Tamara Al Shloul

Papers

Total Citations

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About

Tamara Al Shloul is a leading researcher at the intersection of ambient intelligence, autonomous systems, and smart city technologies. Her work focuses on developing intelligent, sensor-driven solutions that enhance independent living and urban automation. She is best known for her contributions to ambient assisted living, where she pioneered e-monitoring frameworks that enable real-time, sustainable support for individuals in need of assisted care. Her research in this domain has garnered significant attention, with her most cited paper, "Sensors-Based Ambient Assistant Living via E-Monitoring Technology," accumulating 19 citations for its innovative approach to integrating smart sensors with human activity monitoring. Al Shloul has also made notable strides in autonomous vehicle technology. Her work on "Object Detection Learning for Intelligent Self Automated Vehicles" (19 citations) advances the application of AI and image processing for real-time object recognition, a critical component of safe, self-driving systems. By bridging robotics, artificial intelligence, and hardware integration, she advocates for practical, scalable smart city solutions. Her interdisciplinary approach—combining sensor networks, machine learning, and human-centered design—positions her as a key figure in the evolution of intelligent environments. With a growing citation record and a focus on real-world impact, Al Shloul continues to shape the future of assistive and autonomous technologies.