Session Description:

This session will address the transformative role of artificial intelligence and data-driven technologies across the entire tunneling life cycle—from geological site investigation to tunnel design, construction, operation, and long-term maintenance. By integrating physics-informed models with machine learning, digital twins, and smart sensing systems, AI enables more accurate predictions, safer construction processes, and resilient operations under complex ground and environmental conditions.

The session will bring together experts from academia and industry to exchange the latest research and practical applications, aiming to define the “future tunnel” in the AI era, with topics including, but not limited to, the following:

• AI-driven geological feature recognition and site characterization
• Multi-modal data fusion for digital twin modeling of tunnels
• Machine learning for intelligent defect detection and structural health monitoring
• Uncertainty quantification and risk prediction in AI-enhanced tunnel systems
• Generative AI and physics-informed learning for tunnel design and resilience
• Smart sensing networks and autonomous monitoring strategies in tunnel operation
• Future tunnel concepts: resilience, sustainability, and human–AI collaboration