Prakash is academic lead for the civil and structures research group at Exeter. His research interests are broadly in the design and management of civil infrastructures, such as bridges. He has significant experience in: the experimental and numerical modelling of flow and scour (erosion) around hydraulic structures such as bridge piers; the use of applied computing techniques including Building Information Modelling (BIM) for construction automation and design; the development of finite element modelling-based and data-driven strategies for interpreting measurements from bridge structural health monitoring; and the application of optimization methods for structural design problems (e.g. design of trusses and moment-resisting steel frames).
Dr Peter Melville-Shreeve has worked in consultancy, startups and academic roles over the last decade. He works closely with the Chartered Institution of Water and Environmental Management’s (CIWEM’s) policy team to support sustainable water management systems and chair’s CIWEM’s Water Reuse Task & Finishing Group. Much of Peter’s early research focusses on rainwater management systems and the need for dual purpose designs – which can mitigate droughts and floods. His thesis highlighted the opportunities for Internet of Things technologies to be harnessed to reduce water demand AND manage stormwater flood risk. He consequently founded and exited a technology business which developed analytics and control systems to enable such technologies to be implemented at a range of scales.
Alejandro’s research focuses on the social dimensions of hydraulic infrastructure. In particular, he is interested in the relations between hydraulic infrastructure, forms and histories of urban governance and the production and reproduction of urban inequality. He explores these topics through a range of qualitative research methods, with an emphasis on ethnography.
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.