Md. Abdur Rahim
Papers
2
Total Citations
19
H-Index
2
About
Md. Abdur Rahim is a researcher at the forefront of intelligent transportation and autonomous systems, with a primary focus on enhancing safety in autonomous driving and advancing the Internet of Robotic Things (IoRT). His most influential work, "Learning-Based Conceptual framework for Threat Assessment of Multiple Vehicle Collision in Autonomous Driving" (2020, 17 citations), tackles the critical challenge of sudden lane changes—a leading cause of traffic accidents—by proposing a learning-driven framework for real-time collision threat assessment. This contribution is vital for developing safer, fully autonomous vehicles. More recently, Rahim has expanded his research to explore the convergence of artificial intelligence, IoT, and robotics, as seen in his 2025 review "An intelligent and secure internet of robotic things: A conceptual framework" (2 citations), which addresses the pressing need for secure, intelligent integration in applications ranging from agriculture to surveillance. By bridging threat detection in autonomous driving with the broader security and intelligence challenges of robotic ecosystems, Rahim’s work demonstrates a clear trajectory toward safer, smarter, and more connected autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2