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About

Liya Han is a researcher specializing in 3D optical metrology, industrial automation, and high-temperature object inspection. Her work addresses critical challenges in manufacturing quality control, particularly the online 3D measurement of large thermal forging parts—a task made extremely difficult by intense heat radiation and environmental vibrations. Han’s most cited paper (39 citations) introduces a robot-driven 3D shape measurement system for automatic quality inspection on forging production lines, demonstrating a practical solution for real-time geometric evaluation that enhances both quality control and energy conservation. She further advanced the field by developing vibration detection and motion compensation techniques for multi-frequency phase-shifting 3D sensors (17 citations), tackling a major source of measurement error in industrial environments. Her additional contributions include correction algorithms for LIDAR data used in mobile robotics and automatic 3D inspection metrology specifically designed for high-temperature objects. Han’s research bridges the gap between laboratory-grade optical methods and the harsh realities of factory-floor inspection, making her work highly relevant for engineers and researchers in manufacturing, robotics, and industrial vision systems.