Zhihao Kong

Zhihao Kong works on monitoring and testing the structural health of concrete and other infrastructure materials, using embedded sensors (such as piezoelectric transducers) and ultrasonic wave methods to assess strength, compactness, and timing for opening structures to traffic. More recent work extends into applying AI and deep learning techniques to problems like defect detection, deformation prediction in aircraft, and non-destructive testing analysis, showing a broadening from civil/materials engineering into machine-learning-assisted engineering applications.

Publication output has grown over the past decade, rising from occasional single papers per year before 2022 to multiple papers annually in 2023-2025, indicating increasing recent research activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026