Wei Ling
Papers
2
Total Citations
33
H-Index
2
About
Wei Ling is a pioneering researcher in indoor environmental monitoring and bio-inspired robotics, with a focus on intelligent pollutant source localization. Her work bridges swarm intelligence and mechanical ventilation dynamics to solve critical challenges in air quality control. Ling’s most cited study, “Experimental study on 3D source localization in indoor environments with weak airflow based on two bionic swarm intelligence algorithms” (2023, 20 citations), demonstrates how algorithms mimicking natural swarm behavior can precisely track pollutant origins in complex, low-airflow spaces. Her subsequent research, “An experimental study on locating time-varying pollutant sources in a dynamic indoor environment with mechanical ventilation based on multi-robot cooperation” (2023, 13 citations), advances this by integrating multi-robot systems to adapt to shifting ventilation patterns—a breakthrough for real-time hazard detection in smart buildings. By combining experimental validation with algorithmic innovation, Ling has established a framework for autonomous, cooperative sensing that outperforms traditional single-sensor methods. Her work not only enhances safety in industrial and residential settings but also inspires new directions in environmental robotics. With growing recognition, Wei Ling is shaping the future of intelligent indoor air quality management.
Research Focus
Key Achievements
Top Papers
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