Kincho Law

Kincho Law is Professor of Civil and Environmental Engineering at Stanford University. His research focuses on computational and information science applications in engineering, including AI, structural dynamics, cloud computing, and smart infrastructure systems. His work bridges computational mechanics with emerging technologies for engineering solutions.

Education includes:

• PhD in Civil Engineering from Carnegie Mellon University (1981)
• MS in Civil Engineering from Carnegie Mellon University (1979)
• B.Sc in Civil Engineering from University of Hawaii (1976)
• BA in Mathematics from University of Hawaii (1976)

Research interests center on developing computational frameworks for engineering challenges, particularly in infrastructure monitoring, manufacturing automation, and urban systems. His recent publications show strong emphasis on machine learning applications for additive manufacturing quality control, urban crowd modeling, and infrastructure assessment.

Article trends reveal extensive use of deep learning for computer vision tasks (defect detection, building segmentation) and graph-based analysis for urban systems. Research consistently addresses real-world implementation challenges in industrial and civil infrastructure contexts.