Oil spills are among the most damaging environmental threats to marine ecosystems. To this day, there are several methods for decontaminating marine sites. However, bioremediation (including the addition of specialized microorganisms) is often the best solution from an efficiency and eco-responsibility point of view. However, an important limitation remains regarding the application of this approach, […]

From the survey of literature (Eames et al. (1995), Chunnanond & Aphornratana (2004b), Chunnanond & Aphornratana (2004a) and others), the performance of a jet refrigeration system depends greatly on the ejector configuration (characteristics). Many researchers have shown the need to improve performance in order to make ejector-based cooling economically more attractive. It is known that […]

Block cave mining is generally considered the preferred mining method for deeper and lower grade copper and gold deposits. The body of practical knowledge related to the impacts that mass mining methods have on the surrounding environment is limited by the challenges imposed by the ever-increasing size of caving operations, and the difficulty to transfer […]

Ce projet est lié à la Chaire de recherche industrielle du CRSNG en fabrication de composantes aérospatiales en matériaux composites (AéroComp). Les nouveaux marchés aéronautiques, la mobilité urbaine et la conjoncture actuelle présentent des perspectives d’évolution à l’industrie des matériaux composites pour l’aérospatial. La compétition internationale est grandissante et cette industrie canadienne enracinée au Québec […]

CO2 geo-sequestration is an efficient approach to reduce CO2 emission and achieve zero carbon emission with minimum impact on economic growth and people’s wellbeing. This project focus on optimizing carbon utilization in heavy oil reservoirs and CO2 geo-sequestration in the underline saline aquaifer with three key objectives: optimizing CO2 injection in heavy oil reservoir to […]

In this project we aim to evaluate the potential to effectively predict and prevent the occurrence of obstructive sleep apnea during sleep therapy using multiple sensor inputs in conventional CPAP machines. This will be based on experimental tests during both non-REM and REM sleep and standard polysomnography (PSG) measurements. This project is expected to assess […]

A key objective of this project is to develop an advanced routing strategy that can generate optimal routes for curbside waste collection, residential sweeping, and snowplowing services to improve operational efficiency and save overall costs. To achieve this goal, optimal routing models and algorithms will be developed by integrating graphic theory, vehicle routing problem, and […]

This research project evaluates the environmental performance of two tailings management areas at a decommissioned mine site in Ontario. The tailings areas are decommissioned with a water cover and continue to be managed and monitored with ongoing water treatment. The project revisits groundwater modelling that was conducted prior to the decommissioning of the site and […]

In Canada, screw piles are widely used in supporting residential and commercial buildings. While the design of screw piles are general well-known to engineers, the uplift displacement of screw piles during the winter season is still mysterious, especially in cases where screw piles are installed in frost-susceptible soils. The present project is intended to conduct […]

High-resolution natural risk analysis of client-specific asset portfolios that supports science-based decision making for asset modernization, upgrade and acquisition & disposal is a crucial part of asset management in the face of major natural hazards and climate change. The interns will work to combine existing insurance catastrophe models and advanced engineering analysis of earthquake, extreme […]

The production of cement contributes to 8% of global CO2 emissions resulting in a pressing need to develop strategies for reducing the use of cement. This research project focuses on reducing cement use by improving structural efficiency. In order to fully understand the behaviour of these efficient structural elements and ensure that they will provide […]

We propose to develop and evaluate a clinical decision support systems (CDSS) for the Princess Margaret Cancer Centre (PMCC) lung metastases multidisciplinary tumor board (MDT) to improve the consistency and quality of MDT decision-making. We will develop and train a machine learning-based (ML) classifier, using historical decisions data from lung cancer MDTs to model the […]