NSERC FloodNet Project (CAD $5M) Theme 3: Development of Canadian Adaptive Flood Forecasting and Early Warning System (01/09/2014 – 26/08/2019)

Current research group members:

Mohammed Alharbi (PhD; co-supervisor; 2022 - 2026): Integrated analyses of groundwater and surface water – impact of bedform geometry and flood conditions on groundwater-surfacewater interactions

Chenlu Yang (PhD; lead supervisor; 2023 – 2027): Flood futures: how is flood risk evolving in the UK?

Ritesh Moon (PhD; lead supervisor; 2023 - 2027): Integrating machine learning with process-based models to enhance flood forecasting

Saad Al-Yousuf (PhD; co-supervisor; 2023 - 2027): Evolution of the transition between floods and droughts across the UK

Hanqi Zuo (PhD; co-supervisor; 2024 – 2027): Towards the next generation probabilistic flood forecasting system for the UK

Zifei (Joyce) Jiang (PhD; co-supervisor; 2025-2028): Compound flooding under atmospheric river forcing and climate change

Vaishnav Shinde (PhD; co-supervisor; 2026-2030): Low-latitude atmospheric rivers: meteorology, forecasting and flood risk

Chandni Thakur (Postdoc; co-supervisor; 2025 – 2027): Flood risk and flood forecasting in Kerala and Bihar (India)

Thomas Akpan Harry (Visiting Scholar; host; 2026-2027): UK coastal groundwater risk assessment

Zhilei Yu (Visiting Scholar; host; 2026-2027): Drought–Flood Abrupt Alternation and their ecological impacts

Xu Wang (Visiting PhD; host; 2026-2027): Coupled hydroclimatic–ecosystem modelling

Past research group members:

Ben Niu (Visiting PhD): Three-dimensional analysis of drought-heat dynamics and their driving mechanisms

Chenguang Xiao (Data Scientist): Hydrological multi-modal machine learning

Daryl Cortez (Visiting Student): Integrating ML models with human signatures to enhance streamflow forecasting across urbanized catchments

Dan Yang (Visiting Scholar): Runoff hydrodynamics and soil erosion processes in dry-hot regions

Dr Shasha Han completed her PhD at McMaster University (Canada), where her work focused on probabilistic flood forecasting using advanced Bayesian techniques. She contributed to the development of the Canadian Adaptive Flood Forecasting and Early Warning System (CAFFEWS), and predicted future flood inundation by incorporating various sources of uncertainty and accounting for climate change impacts.  Before joining the University of Birmingham, Dr Han worked as a research associate at the University of Oxford (UK), where the focus was on investigating the impacts of urbanisation on river flooding and projecting river flows in the UK considering both urban expansion and climate change. At the University of Birmingham, her research has expanded into diverse areas, including flood non-stationarity, short-term flood prediction, long-term flood projection, integration of machine learning in hydrology, flood and drought alterations, surface water and groundwater interactions, as well as flooding and public health.