Yaohua Jiang
Papers
1
Total Citations
2
H-Index
1
About
Yaohua Jiang is a researcher advancing the field of indoor air quality and environmental monitoring, with a focus on the detection and localization of gaseous pollutants. Their work integrates nature-inspired optimization algorithms with sensor-based source proximity indicators to address the complex challenge of tracking time-varying pollutant releases in weak airflow environments. Jiang’s most-cited paper, "Enhanced whale optimization algorithms with source proximity indicators: Locating gaseous pollutants with time-varying release rates in weak airflow indoors" (2024), introduces a novel approach that improves the accuracy and efficiency of locating emission sources—a critical problem for industrial safety, public health, and building ventilation design. While still early in their career, with 2 citations to date, this work demonstrates Jiang’s ability to bridge computational intelligence and practical environmental engineering. The research has potential applications in smart building systems, emergency response, and pollution control, positioning Jiang as an emerging contributor to sustainable indoor environments. Their innovative use of bio-inspired algorithms marks a promising direction for real-time, adaptive monitoring solutions.
Research Focus
Key Achievements
Top Papers
- 1