Artificial Intelligence-Assisted Routine Water Monitoring and Comprehensive Disinfection Byproducts Study

This research project aims to develop a suite of artificial intelligence-based bioinformatic solutions to address the fundamental challenges in processing large and complex water analysis data.

Project at a Glance

Funding Recipient: University of Alberta
Website: Visit their website
Funding Awarded: $600,000
Project Duration: Jan 1, 2024 – Dec 31, 2026
Sector: Environment
Program: Water Innovation Program

Related Files:

Project Description

The disinfection of drinking water to prevent waterborne disease is essential for public health. However, the reaction of disinfectants with naturally occurring organics in source water results in disinfection byproducts (DBPs). The state-of-the-art analytical techniques used for the comprehensive analysis of DBPs and their precursors in water produce large and complex data that are difficult to process, which has hampered their use by the water industry. This project will develop artificial intelligence (AI)-based data processing combined with advanced analytical techniques to enable rapid assessment of drinking water quality, which will contribute to the capacity for safe and sustainable drinking water.