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Qiuhua Liang

From Wikipedia, the free encyclopedia
Qiuhua Liang
Born
Qiuhua Liang
EducationUniversity of Sheffield
OccupationEngineer
Engineering career
DisciplineFlood risk engineering
Water engineering
Employer(s)Loughborough University

Professor Qiuhua Liang is an academic and researcher specialising in water engineering and flood risk management. He holds the position of Professor of Water Engineering at Loughborough University and is the UNESCO Chair in Informatics and Multi-hazard Risk Reduction.

Career

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Professor Liang obtained his PhD from the University of Sheffield in 2001. He has since worked in computational hydraulics and flood modelling. In 2018, he was appointed as the UNESCO Chair in Informatics and Multi-hazard Risk Reduction, recognising his contributions to the field.[1] Professor Liang is also a Co-director of the EPSRC Centre for Doctoral Training Water-WISER. He was elected as a Fellow of the Royal Academy of Engineering. In July 2024, he was part of a group that received the Prince Sultan bin Abdulaziz International Prize for Water, for innovation in water research.[2][3]

Research

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His work focuses on developing high-performance mathematical and numerical models for flood simulation and forecasting. Liang has made contributions to real-time flood forecasting by coupling GPU-accelerated hydrodynamic models with numerical weather predictions. His research encompasses various aspects of flood modelling, including urban flood simulations, dam-break scenarios, and the integration of multiple data sources. Liang's approaches, such as using deep convolutional neural networks for rapid flood prediction, are used for flood risk management.[4]

References

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  1. ^ "Chair in Informatics and Multi-hazard Risk Reduction". UNESCO.
  2. ^ "Birmingham academic named in global prize for innovation in water research". University of Birmingham. July 14, 2024.
  3. ^ "The recipients of the 11th Prince Sultan Bin Abdulaziz International Prize for Water". International Association for Hydro-Environment Engineering and Research. June 26, 2024.
  4. ^ "Real-Time Flood Forecasting Based on a High-Performance 2-D Hydrodynamic Model and Numerical Weather Predictions". Water Resources Research.