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About

Ho Chang is a leading researcher in non-destructive testing (NDT) and pipeline integrity, with a primary focus on magnetic flux leakage (MFL) techniques and advanced sensor systems. His work addresses critical challenges in the long-distance transport of water, oil, and petrochemical substances, where pipeline defects from corrosion, chemical reactions, and salt deposits pose significant safety and environmental risks. Chang’s major contributions include developing a sustainable pipeline analysis method using MFL for leakage detection (18 citations), pioneering in-line defect detection in steel pipes with flexible giant magnetoresistance (GMR) sensor arrays (12 citations), and studying storage tank floor defects via MFL (11 citations). He has also explored ring-type laser systems for in-line pipeline inspection (6 citations). Beyond pipeline safety, Chang investigates human-robot interaction, analyzing stick-slip dynamics in collaborative palletizing robots for precision control (4 citations). His innovative sensor designs and defect detection methodologies have garnered attention from researchers and engineers in industrial safety and robotics, establishing him as a key figure in advancing sustainable infrastructure and automation.