Latifur Rahman

Dhaka University of Engineering & Technology

Papers

Total Citations

H-Index

About

Dr. Latifur Rahman is a forward-thinking researcher at the intersection of artificial intelligence, computer vision, and natural language processing, with a primary focus on developing intelligent, autonomous security systems. His most-cited work, "An AI-Based Security System Using Computer Vision and NLP Conversion System" (2021), addresses a critical gap in modern security by proposing a framework that moves beyond traditional manual or semi-autonomous entrances. This innovative system integrates visual recognition with natural language conversion to create a more responsive, intelligent access control mechanism. With 4 citations, this paper has laid foundational groundwork for next-generation security solutions that can interpret both visual and verbal cues. Dr. Rahman’s contributions are particularly notable for their practical application in upgrading conventional security infrastructure in sophisticated residential and commercial spaces. His research demonstrates a clear commitment to bridging the gap between advanced AI algorithms and real-world safety challenges, making him a rising voice in the field of applied artificial intelligence for security automation.