Yonghua Wu

City College of New York, Xi'an University of Architecture and Technology

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About

Dr. Yonghua Wu is a pioneering researcher at the intersection of environmental remote sensing and autonomous robotics, whose work bridges critical gaps in both air quality monitoring and construction automation. In environmental science, Dr. Wu’s highly cited 2013 study on assessing satellite Aerosol Optical Depth (AOD) and WRF/CMAQ model outputs for PM₂.₅ estimation (7 citations) provided a foundational framework for obtaining reliable fine particulate matter measurements over large scales, addressing the critical shortage of ground-based monitoring stations and directly supporting public health research. More recently, Dr. Wu has emerged as a leading innovator in construction robotics, with groundbreaking 2025 publications on LiDAR SLAM algorithms for large public building sites. These works, including the evaluation of SLAM algorithms for construction robots (4 citations) and a specialized LiDAR SLAM system for safety inspection robots (1 citation), tackle the persistent challenges of point-cloud drift, large z-axis errors, and inefficiency in complex, large-scale construction environments. By developing robust autonomous navigation solutions for inspection robots, Dr. Wu’s contributions are enabling safer, more efficient construction site monitoring and paving the way for fully autonomous construction workflows.