Shichao Liu
Papers
3
Total Citations
224
H-Index
3
About
Shichao Liu is a leading researcher in indoor environmental quality (IEQ) and intelligent sensing systems, with a focus on developing high-granularity, agile monitoring solutions for built environments. His seminal work on automated mobile sensing, published in 2017 and cited over 148 times, introduced a transformative approach to capturing real-time, spatially resolved IEQ data, enabling unprecedented precision in detecting pollutants and thermal comfort variations. Liu further advanced the field by pioneering bio-inspired optimization algorithms—including improved particle swarm and whale optimization methods—to locate time-varying indoor particle sources, with his 2018 and 2019 papers garnering 46 and 30 citations respectively. These contributions address critical challenges in indoor air quality management, offering robust, adaptive strategies for source identification in dynamic spaces. Liu’s research bridges robotics, environmental monitoring, and computational intelligence, providing practical tools for healthier buildings. His work has been widely recognized for its innovation in multi-robot olfaction and real-time sensing, marking him as a key figure in the intersection of smart building technology and environmental health.
Research Focus
Key Achievements
Top Papers
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