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About

Dr. Lee Kong Tiong is a pioneer in the automation of post-construction quality assessment, a field where he has fundamentally redefined how building inspections are conducted. His primary research focuses on the intersection of robotics, computer vision, and construction engineering, with the goal of replacing slow, subjective manual inspections with rapid, objective, and fully autonomous systems. Dr. Lee’s most significant contribution is the creation of the **QuicaBot** (Quality Inspection and Assessment Robot), a groundbreaking platform detailed in his most-cited work (73 citations). This robot autonomously scans entire rooms using cameras and laser scanners to detect critical defects like cracks, hollowness, and finishing flaws. To enhance its detection capabilities, he pioneered the application of **transfer learning on convolutional activation features** (32 citations), enabling the robot to learn from limited construction-site data. His comprehensive review of the field (10 citations) established the research agenda for automated quality assessment. As the first to develop a fully functional prototype for this purpose, Dr. Lee’s work is not only highly cited but also directly addresses a critical industry bottleneck, promising safer, more reliable, and far more efficient building inspections.