Kamruddin Nur

Papers

Total Citations

H-Index

About

Kamruddin Nur’s research lies at the intersection of ubiquitous computing, retail technology, and human-computer interaction, with a particular focus on bridging the gap between physical and digital shopping experiences. His most cited work, “Projection of RFID-Obtained Product Information on a Retail Store’s Indoor Panoramas” (2015, 30 citations), introduces a novel system that uses RFID technology—via handheld readers, smart shelves, and autonomous robots—to capture product location and details, then overlays this data onto panoramic indoor maps. This contribution enables customers to visualize inventory in real time, transforming how they navigate physical stores. In his earlier paper “STORE VIEW” (2013, 9 citations), Nur identifies key challenges in allowing users to access store inventories remotely before visiting, laying the groundwork for seamless omnichannel retail. Together, these works demonstrate his impact on creating more informed, efficient shopping journeys. Though his citation counts are modest, his research is notable for its practical, user-centered approach to integrating IoT and augmented reality in retail environments—a field with growing relevance for both academics and industry practitioners.