MI
Maryam Imani
Associate Professor in Water Systems Engineering (Engineering; Civil engineering)
Chelmsford, Essex
Publications
- Environmental vulnerability index: An evaluation of the water and the vegetation quality in a Brazilian Savanna and Seasonal Forest biome
- Dynamic multi-objective optimisation using deep reinforcement learning: benchmark, algorithm and an application to identify vulnerable zones based on water quality
- A resilience assessment framework for critical infrastructure networks' interdependencies
- COVID-19 and organisational resilience in Brazil's water sector
- Assessing the combined effects of urbanisation and climate change on the river water quality in an integrated urban wastewater system in the UK
- Clustering analysis of water distribution systems: identifying critical components and community impacts
- A New Approach to Urban Water Management: Safe and Sure
- Surface runoff and accelerated erosion in a peri-urban wellhead area in southeastern Brazil
- Enhanced Residential Bathroom Sustainability: Challenges and Opportunities
- Design and operation of urban wastewater systems considering reliability, risk and resilience
- Enhancing resilience in urban water systems for future cities
- MOGA-ANN based optimisation of integrated urban wastewater system control strategies
- Risk-based water quality management in an Integrated Urban Wastewater System under climate change and Urbanisation
- Towards urban resilience through Sustainable Drainage Systems: A multi-objective optimisation problem
- Low Impact Development practices in the context of United Nations Sustainable Development Goals: A new concept, lessons learned and challenges
- Reliable, resilient and sustainable water management: the Safe & SuRe approach
- Improving the performance of an integrated urban wastewater system under future climate change and urbanisation scenarios
- Barriers to sustainable urban stormwater management in developing countries: the case of Brazil
- A Novel Machine Learning Application: Water Quality Resilience Prediction Model
- RV-DSS: Towards a resilience and vulnerability- informed decision support system framework for interdependent infrastructure systems
- Evaluation of Environmental Naturalness: A Case Study in the Tietê-Jacaré Hydrographic Basin, São Paulo, Brazil
