Bowen Lu

University of Essex, University of Bedfordshire

Papers

Total Citations

H-Index

About

Bowen Lu is a researcher at the intersection of environmental monitoring, mobile robotics, and sensor networks. His work focuses on developing intelligent, autonomous systems for modeling and tracking pollution in natural environments, with a particular emphasis on water quality. Lu’s key contributions include pioneering the use of mobile sensor agents—such as robotic fish—to dynamically map pollutant distributions in real time. His most cited paper (27 citations) introduces a framework for deploying mobile sensors to cover and model polluted regions, enabling more accurate environmental assessments than static monitoring stations. In subsequent work, Lu advanced this concept by integrating Gaussian process regression to track spatio-temporal field functions, addressing the challenge of dynamic environmental changes. Notably, his creative computing approach to a 3D robotic simulator (5 citations) provides a virtual testbed for developing control algorithms for robotic fish teams, incorporating computational fluid dynamics to enhance realism. This work bridges simulation and real-world deployment, offering a scalable tool for water pollution monitoring. Lu’s research has implications for environmental science, robotics, and public health, demonstrating how autonomous systems can transform our ability to understand and respond to ecological threats.