Research Interests
Engineering photochemistry and radical chemistry for emerging contaminant control
Vision: Employing fundamental chemistry to combat water scarcity and reduce environmental risks.
Establish fundamental photochemistry and radical chemistry of water substances
Model the fate of emerging chemical and biological contaminants in natural and engineered systems
Develop suistainable and low-carbon footprint processes for advanced treatment and reuse
Minimise formation of toxic disinfection/oxidation byproducts
Developing novel UV-based processes and devices for health-care applications
Vision: Extending fundamental findings to engineering design of UV-based processes/devices for health-care applications.
Develop UV-LED-based process and device for disinfection and oxidation
Develop Far-UVC-based process and device for disinfection and VOC removal
Advance solar-based process and device for water purification
Design and model different UV sources-based process and reactor
Employing artificial intelligence in predicting reaction kinetics and water engineering
Vision: Applying state-of-art artificial intelligence tools and sensor technology to unblock bottlenecks in environmental engineering.
Apply machine learning for predicting kinetic parameters of chemical reactions
Apply machine learning for forecasting the water quality parameters and feed-back control
Apply IoT for smart on-line monitoring and contamination detection
Apply machine learning for treatment process optimisation