🎉 [Grant] Selected as Lead PI for IITP National Project on Physics-AI Disaster Response
We are thrilled to announce that our lab has been selected as the Lead Principal Investigator of the organizing institution for a major national project funded by the Institute of Information & Communications Technology Planning & Evaluation (IITP)! 🎊
Project Title: Development of an Ultra-Fast, High-Reliability Physics-AI Hybrid Disaster Response Technology Based on MambaFlow Matching
Project Period: 2026. 04. 01 – 2033. 12. 31
Funding Agency: Institute of Information & Communications Technology Planning & Evaluation (IITP)
Role: Lead Principal Investigator, Organizing Institution
Project Overview
This project integrates physics-based modeling with AI to build fast and reliable disaster response systems using MambaFlow matching. From a Disaster One Health Informatics perspective, it addresses disasters — such as floods and wildfires — that simultaneously affect human communities, ecosystems, and infrastructure.
Key research directions include:
- Physics-AI hybrid modeling that incorporates physical laws into deep generative models
- MambaFlow matching for efficient sequential modeling in disaster simulation and forecasting
- Real-time prediction systems for time-critical disaster scenarios