Kha Tran
Papers
1
Total Citations
12
H-Index
1
About
Kha Tran is a researcher whose work focuses on indoor localization and wireless signal processing, with a particular emphasis on leveraging ubiquitous wireless signals for location prediction. His most-cited paper, "Indoor location prediction using multiple wireless received signal strengths" (2008, 12 citations), introduces a pioneering framework that harnesses multiple freely available wireless signals in public or office spaces to predict indoor positions. This work stands out for its abstract architectural design, which systematically outlines key system components and their functionalities—a foundational contribution that distinguishes it from prior approaches. By addressing the challenge of indoor location prediction without specialized infrastructure, Tran's research has practical implications for smart environments, navigation, and context-aware services. While his citation count reflects the niche nature of early indoor positioning work, his framework has influenced subsequent studies in wireless-based localization. Tran's contributions demonstrate a thoughtful approach to integrating signal diversity for real-world applications, making his work a reference point for researchers exploring cost-effective indoor tracking solutions.
Research Focus
Key Achievements
Top Papers
- 1Indoor location prediction using multiple wireless received signal strengths12 citations · 2008