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About

Dr. Jinhai Liu is a leading researcher in intelligent sensing and defect detection for industrial infrastructure, with a primary focus on pipeline inspection and non-destructive evaluation. His most impactful work centers on magnetic flux leakage (MFL) inspection robots, where he has pioneered advanced multisensor fusion frameworks to overcome the challenge of information incompletion. His 2020 paper on this topic, with 67 citations, established a foundational approach for precise defect characterization from multisensor sources. To address the problem of low accuracy in complex pipeline environments, Dr. Liu developed a cascade attention network, detailed in his 2022 highly-cited work (65 citations), which significantly improves automated defect detection under noisy, real-world conditions. His contributions extend to practical instrumentation, including a TMR-array-based pipeline location method (2023) that enables single-measurement underground positioning. More recently, Dr. Liu has expanded into path planning for narrow passages, consensus control for multi-agent systems, and X-ray-based dual-expert detection for automatic welding defect inspection. His work directly advances the safety and reliability of critical energy and industrial infrastructure.