We conduct innovative research and create new knowledge and solutions to support disaster risk management and tackle relevant grand societal challenges induced by climate change and global development.
We work at the forefront of computational hydraulics and data analytics to develop advanced models and tools to predict and forecast water-related natural hazards and hydro-environmental flow processes.
We value interdisciplinary collaboration to push research frontiers and share knowledge to step change engineering practice in managing natural hazard risks and enhancing societal resilience to climate change.
High-Performance Methods for Multi-hazard Modelling
Remote Sensing and GIS for Natural Hazards Assessment
AI / Machine Learning techniques for Flood Risk Prediction
Digital Technologies for Natural Flood Management
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HEMLab, John Pickford Building
School of Architecture, Building and Civil Engineering
LE11 3TU, United Kingdom
News & Events
- 24 December 2020 – Jinghua Jiang (PhD Candidate), Prof Qiuhua Liang, Dr Xilin Xia and collaborator from Xi’an University of Technology, China jointly published a paper, in Environmental Modelling & Software.
- 15 December 2020 – Professor Qiuhua Liang and Dr Huili Chen attended the virtual Annual Dialogue of the Koshi DRR Knowledge Hub. Dr Huili Chen gave a talk on ‘Assessing GLOF exposure using high-performance hydrodynamic modelling and open-source data’.
- 10 September 2020 – Professor Qiuhua Liang recently received a new research grant from UKRI to develop new modelling technology for near-real-time flood risk assessment (PYRAMID; NE/V003321/1).