Xiaoran Liu
Papers
1
Total Citations
46
H-Index
1
About
Xiaoran Liu is a leading researcher in indoor air quality and computational optimization, with a focus on developing advanced algorithms for source identification and environmental monitoring. Her most-cited work, "An improved particle swarm optimization method for locating time-varying indoor particle sources" (2018), has garnered 46 citations and represents a significant contribution to the field. This study introduces a novel adaptation of particle swarm optimization (PSO) to dynamically track and locate indoor pollutant sources, addressing a critical challenge in building ventilation and health safety. By enhancing the algorithm's convergence speed and accuracy for time-varying scenarios, Liu's method provides a robust tool for real-time environmental management, with applications in smart buildings and industrial hygiene. Her research bridges computational intelligence and environmental engineering, offering practical solutions for reducing human exposure to airborne contaminants. Liu's work is particularly influential among researchers in indoor air quality, optimization algorithms, and building science, where her innovative approach to source localization continues to inspire further advancements in adaptive and efficient monitoring systems.
Research Focus
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Top Papers
- 1