Research Interests

Engineering photochemistry and radical chemistry for emerging contaminant control

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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

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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

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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