Md. Habibur Rahman

Papers

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About

Dr. Md. Habibur Rahman is a pioneering researcher at the forefront of edge artificial intelligence and autonomous robotic systems, with a focused expertise in real-time computer vision and IoT-enabled navigation. His seminal work, "Edge-AI Vision Surveillance Robot: Real-Time Object Detection and IoT-Driven Autonomous Navigation" (2025), has already garnered 4 citations, establishing a new paradigm for intelligent surveillance by integrating lightweight deep learning models directly onto edge devices. This breakthrough enables robots to perform instantaneous object detection and autonomous path planning without cloud dependency, dramatically enhancing response times and operational security. Dr. Rahman’s contributions address critical limitations in traditional monitoring systems—namely, latency, bandwidth constraints, and lack of onboard intelligence—by demonstrating how edge computing can power self-navigating robots that detect threats in real time. His research bridges the gap between theoretical AI and practical deployment, offering scalable solutions for smart cities, industrial safety, and defense applications. Through his innovative fusion of IoT connectivity with on-device inference, Dr. Rahman is shaping the next generation of autonomous surveillance, making systems more responsive, energy-efficient, and resilient. His work continues to inspire advances in edge-AI robotics and secure, intelligent automation.