معرفی
Yongming Liu is a Professor of Aerospace and Mechanical Engineering at Arizona State University's School for Engineering of Matter, Transport and Energy. He leads the Prognostic Analysis and Reliability Assessment Laboratory (PARA) and has been at ASU since 2012. His research focuses on fatigue/fracture mechanics, probabilistic computational methods, risk assessment, multi-physics damage modeling, and uncertainty quantification across scales. Key interests include experimental testing, diagnostics/prognostics, and structural durability.
Education: Ph.D. Civil Engineering (Vanderbilt University, 2006); M.S. and B.S. Structural Engineering (Tongji University, Shanghai, 2002 and 1999).
Research activity includes NSF-funded projects on fatigue prognosis for coastal bridges, DOE-supported studies on creep-fatigue analysis of alloys, and industry collaborations on pipeline diagnostics. Recent work emphasizes AI-driven approaches for structural health monitoring, aerospace safety, and energy systems. Courses taught span mechanics of materials, probabilistic methods in engineering design, and graduate supervision.
Key contributions include physics-informed machine learning frameworks, fatigue life prediction under uncertainty, and multi-agent reinforcement learning for air traffic management. His lab develops advanced diagnostics/prognostics tools bridging structural and biomedical applications.
