Ashanie Guanathillake
Commonwealth Scientific and Industrial Research Organisation
Papers
1
Total Citations
3
H-Index
1
About
Ashanie Guanathillake is a researcher whose work lies at the intersection of distributed sensor networks, robust estimation, and autonomous target tracking. Her most-cited paper, "Robust Kalman filter‐based decentralised target search and prediction with topology maps" (2017), introduces a novel distributed framework for searching and tracking targets in environments where physical distance measurements—such as signal strength—are unavailable. By fusing a robust Kalman filter with nonlinear least-squares methods, Guanathillake’s approach enables effective target localization using only topological map information, a significant advancement for sensor networks operating under communication or hardware constraints. Though her citation count remains modest, this work demonstrates her ability to address real-world challenges in decentralized robotics and environmental monitoring. Her contributions are particularly valuable for researchers exploring resilient multi-agent systems and low-infrastructure sensing. Guanathillake’s research underscores the importance of algorithmic robustness in uncertain, communication-limited settings—a critical direction for the future of autonomous search-and-rescue, wildlife tracking, and smart infrastructure.
Research Focus
Key Achievements
Top Papers
- 1