Papers
3
Total Citations
100
H-Index
3
About
Jingyu Lu is a leading researcher in indoor environmental engineering, specializing in source localization, multi-robot olfaction, and dynamic ventilation systems. His work addresses the critical challenge of rapidly identifying hazardous contaminant releases in occupied spaces, with direct applications to building safety, air quality management, and emergency response. Lu’s most influential contributions include pioneering the use of particle swarm optimization (PSO) for multi-robot collaboration, demonstrating its effectiveness in both natural and mechanical ventilation scenarios. His 2019 study on PSO-based multi-robot olfaction in naturally ventilated indoor environments (47 citations) and his companion work on mechanical ventilation (40 citations) are foundational references in the field, establishing robust methods for tracking time-varying pollutant sources. More recently, his 2023 experimental study on multi-robot cooperation for dynamic mechanical ventilation (13 citations) further advances real-time source localization. Collectively, Lu’s research has garnered over 100 citations, underscoring its impact on intelligent building systems and autonomous environmental monitoring. His work is essential reading for engineers and researchers developing adaptive, robot-assisted solutions for indoor air safety.
Research Focus
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