Irina Stipanovic

Irina Stipanovic is an Assistant Professor specializing in Market Dynamics, focusing on infrastructure maintenance, climate change adaptation, and railway systems. Her research integrates advanced technologies like Digital Twins and machine learning to enhance decision-making in civil engineering contexts.

Her work addresses critical challenges in infrastructure management, including risk-based maintenance scheduling, structural health monitoring, and flood resilience. She explores innovative methods such as entity-embedding neural networks and vision-based 3D inspections to improve predictive maintenance and asset lifecycle management.

Key themes in her research include:

• Railway earthwork maintenance under climate change
• Multi-objective decision models for infrastructure prioritization
• Integration of Structural Health Monitoring (SHM) into Digital Twin platforms
• Resilience planning for critical infrastructure against floods and other hazards

She has contributed to EU initiatives on standardization of Digital Twin applications and has published extensively on railway, tunnel, and bridge management. Her work emphasizes data-driven approaches to sustainable infrastructure solutions.