ICaRN-III: Investigation of Fragmentation, Draw Control, Water Flow and Ground Response to Better Assess and Mitigate Inrush, Stress and Slope Geohazards in Cave Mining

The proposed project aims to develop and validate new knowledge, technologies and engineering tools aimed at identifying and mitigating geological hazards encountered on deep mass-mining projects. Deep mass-mining is key for delivering the copper and other critical minerals needed for the transition towards clean energy and electric cars as near-surface resources are depleted. The proposed […]

Read More
Intelligent Tracking Infrastructures Using Wireless Networks with Vision-Audio Monitoring Capabilities

Wireless technologies offer new opportunities in the field of telecommunications and computer networks. Wireless sensor networks are a new technology that has emerged after the great technological progress in the development of smart sensors and powerful processors. The city of Trois-Rivieres is currently in the heart of a project to develop a smart public lighting […]

Read More
Increasing the biomonitoring potential of water boatmen (Hemiptera: Corixidae) in Alberta

In the Prairie Pothole Region of Canada, wetland consolidation and agrichemicals are potentially threatening aquatic life. The water boatmen are a family of aquatic insects with 42 species in Alberta that are monitored province-wide by the Alberta Biodiversity Monitoring Institute. However, currently only a small proportion of the water boatmen collected in the monitoring program […]

Read More
Development of Bionanofluid for Commercial Production

The purpose of this 4?month internship is to scale?up the bionanofluid production at McGill University and then transfer this process to Leap Medical Labs for commercialization. At McGill, this will involve the design and implementation of 2 new reactors, as well as testing, optimization and validation of the various process parameters. Once the scale?up is […]

Read More
Environmental Site Assessment Utilizing Multi and Hyperspectral Imagery and Computer Vision

This research project is a feasibility study designed to assess the viability of employing advanced technology for oilfield environmental site assessment and restoration. The conventional labor-intensive and manual process of evaluating oilfield sites for potential remediation or reclamation is performed in the field at high cost. Our primary objective is to investigate the feasibility of […]

Read More
Data Analytics to Aid Decision Making in the Mining Industry

Machine learning (ML) has become an indispensable tool in the mining industry, significantly enhancing operational efficiency, ensuring safety, and optimizing resource management. Its ability to process and analyze large datasets is pivotal in facilitating informed decision-making and reducing operational costs. This project leverages data analytics to augment mining operations planning, with two primary objectives: 1. […]

Read More