Abu Obaidah

Papers

Total Citations

H-Index

About

Dr. Abu Obaidah is a pioneering researcher at the intersection of artificial intelligence, edge computing, and autonomous systems, with a primary focus on intelligent surveillance and IoT-driven robotics. His most cited work, "Edge-AI Vision Surveillance Robot: Real-Time Object Detection and IoT-Driven Autonomous Navigation" (2025), has already garnered 4 citations, demonstrating early impact in this rapidly evolving field. Dr. Obaidah’s major contribution lies in integrating real-time object detection with autonomous navigation on resource-constrained edge devices, addressing critical limitations in traditional surveillance systems that lack on-device intelligence and mobility. By combining lightweight AI models with IoT connectivity, he has enabled robots to process visual data locally, reducing latency and bandwidth dependency while enhancing security monitoring capabilities. His research bridges the gap between theoretical computer vision and practical deployment, offering scalable solutions for smart cities, industrial safety, and perimeter security. Dr. Obaidah’s work is particularly notable for its emphasis on real-world applicability, pushing the boundaries of how autonomous agents can perceive and navigate dynamic environments without cloud reliance. As his citation count grows, he is establishing himself as a key voice in edge-AI robotics, inspiring future innovations in autonomous surveillance and intelligent IoT systems.