Sanjha Khan

i2CAT

Papers

1

Total Citations

3

H-Index

1

About

Sanjha Khan is an emerging researcher in visible light communication (VLC) and indoor positioning systems, with a focus on low-cost, scalable solutions for Internet of Things (IoT) environments. Their most-cited work, "Low-Cost 3D Indoor Visible Light Positioning: Algorithms and Experimental Validation" (2024), introduces novel algorithms that leverage optical-based visible light technology to achieve accurate three-dimensional localization indoors—a critical challenge for smart building and automation applications. By demonstrating how VLC systems can provide enhanced bit rate transmission alongside reliable positioning, Khan addresses key limitations of traditional radio-frequency methods, such as interference and high infrastructure costs. This work has already garnered early citations, signaling its relevance to the growing field of optical wireless communication. Khan’s contributions are particularly notable for bridging theoretical algorithm design with practical, low-cost experimental validation, making advanced indoor positioning more accessible. As the demand for precise indoor navigation and IoT connectivity rises, Khan’s research offers a promising path forward, positioning them as a rising voice in the intersection of optical communications and location-based services.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Low-Cost 3D Indoor Visible Light Positioning: Algorithms and Experimental Validation
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: i2CAT

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago