Chaity Banerjee

University of Central Florida

Papers

1

Total Citations

5

H-Index

1

About

Chaity Banerjee is a researcher whose work lies at the intersection of wireless communication, indoor positioning, and the Internet of Things (IoT). Her most-cited paper, "RF-MSiP: Radio Frequency Multi-source Indoor Positioning" (2019), addresses a critical challenge in autonomous systems and smart city infrastructure: achieving accurate indoor localization. By integrating multiple radio frequency sources, Banerjee’s approach improves positioning reliability in environments where GPS fails—a key enabler for mobile robotics, large-scale sensor networks, and IoT applications. Her contributions are foundational for the deployment of autonomous systems in complex indoor spaces, with her work garnering citations that underscore its relevance to both academia and industry. Banerjee’s research bridges theoretical signal processing with practical deployment challenges, making her a notable voice in the growing field of context-aware computing. As indoor positioning becomes increasingly vital for everything from warehouse robotics to augmented reality, her work continues to influence how we navigate and interact with smart environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
RF-MSiP: Radio Frequency Multi-source Indoor Positioning
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Central Florida

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago