Agentic AI and Immersive Digital Twins for Disaster Risk Management

Abstract

This talk presents the emerging landscape of Agentic AI and Immersive Digital Twins as transformative tools for Disaster Risk Management. We explore how the integration of advanced AI – including Large Language Models (LLMs) and autonomous agentic systems – with Hydroinformatics is revolutionizing the way we understand, simulate, and respond to environmental hazards. The presentation highlights how digital twins – virtual, data-driven replicas of real-world systems – enable dynamic, real-time scenario analysis, risk assessment, and decision support. Through immersive technologies such as Augmented Reality (AR) and Virtual Reality (VR), stakeholders can engage with disaster scenarios in previously impossible ways, enhancing situational awareness and communication. Case studies illustrate the deployment of these technologies in hydrology and disaster response, demonstrating improved predictive capabilities and stakeholder collaboration. Looking ahead, we envision a collaborative ecosystem that unites Agentic AI, digital twins, and immersive environments to create proactive, resilient solutions for disaster preparedness, response, and mitigation.

Bio

Ibrahim Demir is the Michael A. Fitts Presidential Chair in Environmental Informatics and Artificial Intelligence at Tulane University, Professor in the Department of River-Coastal Science and Engineering and a core member of the Tulane ByWater Institute. Leveraging cutting-edge artificial intelligence and data science, Demir develops innovative environmental information systems, notably creating early warning systems and digital twins for disasters. His pioneering research is widely recognized through 200 peer-reviewed publications. He is leading the Hydroinformatics Lab, focusing on intelligent disaster analytics systems, and augmented and virtual reality for environmental monitoring. Demir holds a PhD from the University of Georgia. He also serves as the Chair of the International Joint Committee on Hydroinformatics (IAHR/IWA).