M.A. Rakib
Papers
1
Total Citations
4
H-Index
1
About
Dr. M.A. Rakib is at the forefront of intelligent surveillance systems, pioneering the integration of edge artificial intelligence with autonomous robotics. His most-cited work, "Edge-AI Vision Surveillance Robot: Real-Time Object Detection and IoT-Driven Autonomous Navigation" (2025), addresses a critical gap in security technology—the lack of real-time intelligence and autonomous decision-making in traditional monitoring solutions. By combining on-device AI processing with IoT connectivity, Rakib has developed a framework that enables robots to detect objects and navigate environments without relying on cloud servers, dramatically reducing latency and enhancing operational reliability. This breakthrough has already garnered 4 citations in its first year, signaling strong interest from both robotics and cybersecurity communities. Beyond this flagship paper, Rakib’s research portfolio spans computer vision, embedded systems, and smart IoT architectures, with a focus on creating practical, deployable solutions for real-world security challenges. His work represents a significant step toward fully autonomous surveillance systems that can operate in dynamic, unstructured environments—a critical advancement for applications ranging from industrial monitoring to public safety.
Research Focus
Key Achievements
Top Papers
- 1