- Low-Cost Water Quality Sensors
Develop robust, low-cost, and energy-efficient sensors to monitor key water quality parameters (nutrients, heavy metals, emerging chemicals and pathogens) in stormwater, drinking water, and wastewater systems
- Optimizing Sensor Placement in Complex Networks
Investigate algorithms and frameworks for the optimal placement of sensors and samplers in urban water systems, to bring the most cost-effective digital water solutions to the industry.
- Real-Time Control Strategies for Integrated Urban Water Systems
Develop model-predictive and rule-based control strategies to integrate stormwater, drinking water, and wastewater systems. This research aims to reduce flooding risks, optimize water use, and defer expensive infrastructure upgrades.
- IoT-Enabled Adaptive Water Asset Maintenance
Establish evidence-driven maintenance frameworks for stormwater and wastewater systems. This research will use IoT-enabled sensors to collect long-term performance data, modeling asset degradation and optimizing maintenance schedules.
- Surrogate Machine Learning Models for Water Quality and GHG Emissions Predictions
Develop and validate machine learning surrogate models that use easy-to-measure parameters (e.g., temperature, pH, or turbidity) to predict difficult-to-measure parameters, such as heavy metals, pathogens, or greenhouse gas (GHG) emissions from water systems.
- Novel PFAS Removal and Degradation
Develop innovative and scalable technologies for PFAS removal and degradation, focusing on biological processes to mitigate PFAS water and wastewater systems.
- Tackling Antimicrobial Resistance (AMR) and Pathogens
Advance detection and treatment strategies for antimicrobial resistance and pathogens in water systems. This project explores cutting-edge sensor technologies, AMR fate modelling, and treatment solutions to ensure water safety.
- Enhancing Biogas Production through Anaerobic Digestion
Optimize anaerobic digestion processes to maximize biogas production and purification. This project focuses on microbial engineering, process improvements, and compact system designs for diverse applications.
- Cost-Effective Nitrogen Removal from Wastewater
Develop innovative, energy-efficient technologies for biological nitrogen removal from municipal and industrial wastewater. This project emphasizes process optimization and advanced reactor designs to achieve sustainable nitrogen removal at reduced operational costs.
- Nutrient (N & P) Recovery for Sustainable Resource Utilization
Explore advanced technologies for recovering nitrogen and phosphorus from wastewater, transforming them into high-value products like fertilizers. This project focuses on developing scalable solutions that support circular economy goals and reduce environmental impacts.
- Rapid Real-Time Flood Modelling and Early Warning Systems
Design and implement a real-time flood modeling and warning system powered by spatially distributed water level sensors.
