Charles is a reproductive physiologist and environmental biologist. His research interests include mechanisms of endocrine disrupting chemicals and nanoparticle ecotoxicology and assessing population level effects of contaminants in wildlife (primarily fish).
Guangtao’s research is focused on developing and applying new computer models, data analytics and artificial intelligence tools to tackle urban water challenges in water supply resilience, network leakage, flood risk, urban stormwater and wastewater management.
Raziyeh specialises in urban water systems modelling, water resources management and asset management and has expertise in multi-objective optimisation of water networks. Her research interests covers evolutionary optimisation, artificial intelligence and data mining.
Slobodan researches the development and application of advanced methodologies and software tools for water management. These include: drainage and floods simulation, impacts of flooding, effects on human health and impacts on road transportation, resilience to diverse extreme weather events in the context of climate change, tidal energy extraction, water quality modelling, river and coastal engineering, water-food-energy nexus, cascading effects between water, waste, energy, transportation and other infrastructure systems, nature-based solutions, and drought risk management.
Albert’s research focuses on water and human environment systems. Particular focus is on: hydraulic modelling, urban drainage, flood forecasting, innovation technology applications, water-food-energy-ecosystems nexus, climate change impact on critical infrastructure, prediction of water-borne disease, hazard impact and cascading effects assessment, and mitigation and resilience strategies.
David’s research area is urban water management, including sustainable and resilient water systems, integration and control and water-energy-carbon interactions.
Reza’s research includes flood risk management including: flash flood and hazard, Sustainable Flood Management, evacuation planning,
water quality and sediment transport modelling. His work includes modelling bacteria, viruses, nutrients and emerging pollutants, monitoring for bathing water and aquaculture sites, warning and autonomous systems, water security.
Tom’s research covers the data science associated with monitoring and sensing of built environment assets ( including optimisation and artificial intelligence) including the management and integration of disparate data sources.