Lingjie Zeng

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About

Lingjie Zeng is a leading researcher in indoor environmental quality and robotic sensing, with a focus on particulate matter (PM) source localization in dynamic indoor spaces. Their key contributions bridge the critical gap between computational simulations and real-world experimentation, addressing the complex challenges posed by unpredictable airflow and particle behavior. In their highly cited 2025 work, "Particulate matter source localization in dynamic indoor environments: Bridging simulation-experimentation gaps with a 3D multi-robot system," Zeng introduced an innovative multi-robot framework that significantly improves the accuracy and speed of identifying PM sources—a problem with profound implications for human health, industrial product quality, and safety. This research, already garnering 3 citations shortly after publication, demonstrates Zeng’s ability to develop practical, deployable solutions for real-world environmental monitoring. By integrating advanced robotics with environmental science, Lingjie Zeng is shaping the future of smart building technologies and autonomous hazard detection, making their work essential reading for students and researchers at the intersection of robotics, indoor air quality, and public health.