Recent advances in stochastic engineering dynamics

Multi-disciplinary life-cycle community resilience under natural hazards to support policy planning and decision support

Advancing long-term climate resilience for infrastructure systems

Structural safety and risk analysis under imprecise information

Multi-Hazard approaches to structural assessment and design of civil engineering structures and infrastructure systems

Bayesian approach for structural health monitoring

Innovative applications of machine learning and digital twin for reliability-based lifecycle design and management of civil and energy infrastructure

Global reliability analysis and design of complex nonlinear stochastic systems

Fracture resistant materials and structures

Computational challenges in structural reliability analysis

Geodatabases and methods for data-centric geotechnics

Probabilistic evaluation of the serviceability limit state and use phase of structures and infrastructure systems

Uncertainty quantification and risk mitigation for dynamic structures exposed to environmental loads

Scientific machine learning for prediction of extreme, rare and anomalous events

Advances in AI and risk-informed decision support for regional structural and infrastructure systems

Machine learning and surrogate modeling for reliability, risk, and resilience assessment of complex engineered networks

Measures of risk and reliability: recent developments, applications, and implications

Enhancing the resilience of electric power networks to extreme natural hazards

Recent advances in Bayesian computation for uncertainty-aware inverse analysis

Innovative research to enhance seismic resilience of building structures

Resilience of engineering systems: definition, modelling, inference, and validation

Applications of probability, statistics, and machine learning to the diverse field of Catastrophe Modeling

Forecasting weather-related hazard impact: enhancing emergency management and community resilience

UQ approaches for computational efficient hazard/vulnerability assessment at the regional scale

Structure and infrastructure robustness and resilience against extreme events

Vibration mitigation via innovative materials and devices

Physics-based data-driven modeling and uncertainty quantification in computational sciences and engineering

Recent advances in vulnerability modeling of the global built environment

Structural design optimization under uncertainties

Physics-informed machine learning for structural modeling

Accelerating computational models by scientific machine learning for uncertainty quantification and risk assessment in natural hazards applications

Performance-based Wind Engineering from building to community scale

Reliability and safety of road pavement structures

Structural design and maintenance optimization under uncertainty

Advancing resilient infrastructure: data-driven and Artificial Intelligence approaches for enhanced natural hazard risk assessment and mitigation/adaptation

Optimization under uncertainty

Reliability analysis and optimization for engineering systems

4th mini-symposium on civil infrastructure in a changing climate: from nonstationary risk assessment to developing adaptation strategies

Safety, risk and resilience of fire-exposed structures and communities

Mini-symposium on uncertainty quantification and propagation for complex systems

Probabilistic and statistical methods for enhanced post-disaster regional recovery analysis

Uncertainty quantification of high-dimensional nonlinear stochastic dynamical systems

Bayesian analysis of structural and geotechnical models

Decision-making under uncertainty

Multi-hazard resilience quantification of community systems for informed mitigation, climate adaptation, and post-event management

Probabilistic life-cycle performance assessment of civil engineering systems