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

Loughborough University
LE11 3TU, United Kingdom

News & Events

  • 1 October 2021 – Professor Qiuhua Liang and Dr Huili Chen recently received a new research grant from UKRI to develop Fit-for-purpose high-resoLution risk Assessment and forecasting System for rainfall-induced Hazards in Bhutan (FLASH).
  • 11 October 2021 – Dr Jiaheng Zhao, Dr Huili Chen, Professor Qiuhua Liang, Dr Xilin Xia and colleague from Loughborough University, collaborators from University of Glasgow (UK), Brunel University London (UK) and Institute for Global Environmental Strategies (Japan) jointly published a paper.

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