Yoke Kong Kuan
Papers
1
Total Citations
58
H-Index
1
About
Yoke Kong Kuan is a leading researcher in autonomous systems and environmental monitoring, with a focus on scalable, distributed sensing platforms for aquatic environments. His most-cited work, "Distributed system of autonomous buoys for scalable deployment and monitoring of large waterbodies" (2018, 58 citations), introduces a novel framework for deploying fleets of autonomous buoys that collaborate to monitor vast waterbodies in real time. This contribution addresses critical challenges in environmental data collection, such as cost, scalability, and coverage, enabling more efficient tracking of water quality, pollution, and ecological changes. Kuan’s research integrates robotics, sensor networks, and data fusion, offering practical solutions for sustainable water resource management. His work has been widely cited by researchers in environmental engineering and autonomous systems, reflecting its impact on both academic and applied fields. Beyond this flagship paper, Kuan has contributed to advancing decentralized control algorithms and low-power communication protocols for autonomous platforms. His achievements underscore a commitment to bridging technology and environmental stewardship, making him a key figure in the development of intelligent, scalable monitoring systems for large-scale aquatic ecosystems.
Research Focus
Key Achievements
Top Papers
- 1