David Yang

Dr. David Yang is an Assistant Professor in the Department of Civil and Environmental Engineering at Portland State University. He joined the department in Fall 2020, after working as a postdoctoral researcher at Lehigh University. His research strives to advance effective and efficient management for structures and infrastructure systems, primarily through the integration of structural engineering and probabilistic machine learning methods. He has extensive experience in structural reliability analysis and calibration, risk management for transportation infrastructure networks, and probabilistic life-cycle management for deteriorating structures. His ongoing work deals with (a) robust climate adaptation strategies for vulnerable structures and infrastructure systems and (b) probabilistic machine learning for infrastructure metamodeling and optimum management. Additional research areas include sustainability and resilience of structures, decision-making under uncertainty, and climate change impact on infrastructure and communities. He serves in the ASCE/SEI Task Group 1 on Life-cycle Performance of Structural Systems.

Research Interest and Expertise 

• Structural reliability
• Risk and resilience
• Probabilistic machine learning
• Climate change impact
• Decision-making under uncertainty

Courses Taught

• CE 324: Elementary Structural Analysis
• CE 325: Indeterminate Structures
• CE 410 / 510 Topics: Principles of Infrastructure Management
• CE 510 / 610 Topics: Machine Learning Methods in Civil Engineering

Links to Research Archives

• Google Scholar Profile
• Research Gate
• ORCiD