Research Project / 2022 - 2026
Internet of Things-based real-time slope stability forecast using a digital twin and conversational AI
This project develops an operational, real-time framework for slope stability forecasting by combining digital twins, IoT-based monitoring, numerical modelling, and data-driven methods. By integrating local and regional scales within a cloud-based system, the work supports more reliable landslide early warning under changing climatic conditions.