Zeqi Li

Papers

Total Citations

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About

Zeqi Li is a researcher specializing in environmental fluid dynamics and indoor air quality, with a particular focus on the detection and modeling of airborne contaminants. Their most-cited work, "Assessment of different plume-tracing algorithms for indoor plumes" (2020, 16 citations), provides a critical evaluation of methods used to locate and track pollutant sources in enclosed spaces—a key challenge for ventilation design and hazard response. This contribution has informed practical approaches to improving building safety and air quality monitoring. Li’s research bridges computational modeling and experimental validation, offering insights into how turbulent flows transport particles and gases indoors. By systematically comparing algorithmic strategies, their work has helped refine the accuracy of plume-tracing techniques, with implications for industrial hygiene, environmental monitoring, and smart building systems. While early in their career, Li has already demonstrated a talent for addressing real-world problems through rigorous, application-driven science, making their research a valuable resource for engineers and environmental scientists seeking to mitigate indoor pollution risks.