Research and expertise
Dr. Jinghua Jiang is an expert in flood risk management and hydrodynamic modelling, specialising in developing high-performance computational tools for water-related challenges. Her research integrates advanced technologies with nature-based solutions for climate resilience, with a particular focus on compound flood risk management in data-scarce regions.
Jinghua has demonstrated expertise in developing GPU-accelerated models, machine learning applications, and stakeholder-engaged research. Her work spans from model development to practical implementation, combining technical innovation with real-world applications in sustainable urban water management.
She has successfully led multiple international research collaborations, bridging the gap between academic research and practical solutions for climate resilience.
Current research activity
- Leading the DECLARE Project, which aims to create an automated, cross-scale tool for NbS design tailored to compound flood risk management in data-scarce regions
- Utilising GPU acceleration techniques to enable efficient large-scale environmental modelling
- Developing pollutant transport and pathway tracking models to enhance urban flood resilience
Recently completed research projects
- Living Deltas Hub – Funded by the GCRF
- WCSSP India – In partnership with the UK Met Office
- ValBGI Project – Supported by NERC
- ENACT Project – Also funded by NERC
All publications
- Jiang, J., Liang, Q., Xia, X. and Hou, J., 2021. A coupled hydrodynamic and particle-tracking model for full-process simulation of nonpoint source pollutants. Environmental Modelling & Software, 136, p.104951.
Teaching
I contribute to learning and teaching activities across the Schools programmes including:
Undergraduate
- Open channel Flow Design and Analysis
- Dissertation
Postgraduate:
- Flood Modelling and Management
- Dissertation
Profile
Dr. Jinghua Jiang is a Research Fellow at Loughborough University's School of Architecture, Building and Civil Engineering, where she leads pioneering research on compound flood risk analysis and Nature-based Solutions (NbS).
Jinghua’s current work focuses on developing innovative frameworks for multi-hazard risk assessment and NbS spatial distribution models, combining machine learning techniques with hydrodynamic modelling. She co-leads a multi-disciplinary modelling team across four institutions, while also contributing to academic development through PhD and undergraduate dissertation supervision.
Previously, she served as a part-time Research Fellow at the University of Birmingham, where she played a key role in the WCSSP India project, developing flood risk assessment software in collaboration with the UK Centre for Ecology & Hydrology. As a Research Assistant at Loughborough University, she made significant contributions to multiple NERC and Met Office funded projects, including the development of the HiPIMS-SuDS model and HiPIMS-PTM model, which represent breakthrough achievements in simulating flood-infrastructure interactions and pollutant dynamics.
Her early career experience includes three years as an Assistant Engineer in industry, where she specialised in water system and treatment plant design, providing her with valuable practical industry experience that continues to inform her research approach.
Professional affiliations
- Fellow of UK Centre for Collaborative Digital Education (C-DICE)
- Fellow of the UNESCO Chair in Informatics and Multi-hazard Risk Reduction (IMRR)
- Fellow of the International Centre for Informatics and Disaster Resilience (ICIDR)
- Founding member of the Global Partnership for Smart Informatics and Multi-hazard Reduction (SIMR)
External activities
- Moderator at the 42nd WEDC International Conference
- Co-organizer of the 23rd Annual General Meeting of UK-CARE
- Reviewer for journals such as Journal of Hydrologic Engineering, Natural Hazards
- Selected representative for Women in Science, Living Deltas Hub