Hao Wu

Hao Wu's research focuses on engineering reliability, uncertainty quantification, and design optimization under uncertainty, often using machine learning and surrogate modeling techniques. Application areas span pipeline defect detection, battery thermal management, solder joints, manufacturing processes, and biomedical simulation. The work combines statistical and probabilistic methods with data-driven tools to predict system failure and improve design reliability.

Publication output has grown steadily over the past decade, rising from about 1 paper per year in 2017-2018 to roughly 4-5 per year in recent years (2023-2026).

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