Papers
2
Total Citations
22
H-Index
2
About
Boyuan Zhang is a researcher at the forefront of bio-inspired environmental sensing and indoor air quality control. His work focuses on developing intelligent algorithms for the localization of gaseous pollutant sources in complex indoor environments, particularly under challenging conditions of weak or time-varying airflow. Zhang’s major contribution lies in the innovative application and enhancement of swarm intelligence algorithms—such as the whale optimization algorithm—to mimic the olfactory search strategies of biological organisms. His 2023 study, which experimentally validated 3D source localization using two bionic swarm intelligence methods, has garnered 20 citations for its practical approach to a notoriously difficult problem. More recently, his 2024 work introduced source proximity indicators to improve the efficiency of these algorithms when dealing with time-varying release rates. By bridging computational optimization with real-world environmental monitoring, Zhang is advancing the capabilities of autonomous sensing systems for applications in safety, pollution control, and building ventilation. His research offers a compelling blend of theoretical algorithm development and hands-on experimental validation, making it a valuable reference for students and engineers tackling the challenge of locating hidden or intermittent pollutant sources.
Research Focus
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Top Papers
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