Kelvin Ng

Gas Chromatography System for Water Research via the Water-Climate-Energy-Food-Environment Nexus

Principal investigators: Xue, Jinkai

Keywords: biogas; biological treatment; climate change; critical mineral; emerging pollutants; landfill leachate; renewable energy resource; wastewater treatment and reuse; water resource recovery

Development of a data-driven waste management system in Canada

Principal investigators: Ng, Kelvin Tsun Wai

Keywords: sustainable solid waste management; waste management system metrics; evidence-based waste policy; data driven techniques; tessellation optimization; regionalization; waste management system efficiency and effectiveness; machine learning models; time series modeling and validation; geographic information system tools

The development of small modular reactor waste strategies for Saskatchewan

Principal investigators: Situm, Arthur AES

Keywords: corrosion; deep geological repository; environmental radioactivity; machine-learning based modeling; near surface disposal facility; radioactive waste managment; radioactive waste policy; site selection; waste collection and transport

Machine learning approach for sustainable clothing and textile waste management: Evidence-based policy and circular economy framework in the fashion industry

Principal investigators: Ng, Kelvin Tsun Wai

Keywords: Post-consumer clothing and textile waste; Data driven waste policy in end-of-life textile sector; Circular economy in Canadian fashsion industry; RNN-LSTM modeling using K-fold validation and distinct time-series; Interaction of odorous molecules with textile fibres ; Sensory detection of body odor emanating from fabrics; Holistic scenario mapping and social justice; Recycling opportunities and disposal behaviors of second-hand clothing; Gender stereotyping and cultural appropriation in Fashsion

Computational modeling and simulation of municipal waste generation and risk assessment during COVID-19_x000d_

Principal investigators: Ng, Kelvin Tsun Wai

Data driven techniques and evidence-based policy in waste management system

Principal investigators: Ng, Kelvin Tsun Wai

Keywords: Artificial neural network waste generation model; Data driven techniques and evidence based waste policy; GIS based waste collection models; Non-hazardous solid waste management framework; Numerical modeling and system optimization; Sustainable waste management metrics and diversion rate; Text mining and bibliometric analysis of engineering standar; Waste generation characteristics and recycling practices