Presently, sound wall foundation design for steel piles is being governed by the effects of the freeze-thaw cycles. The deformations produced by the freeze-thaw cycles cause structural damage and can be seen as an important index to judge the stabilities of structures in cold regions. A very limited number of studies investigated pile design within […]

One of the ways to reduce the use of antibiotics in the poultry industry is to produce healthier and stronger chicks right from the hatch. In traditional practice, newly hatched chicks are not fed until they are transported to the production units. The hatching widows and transportation lead to delays in feeding and starvation of […]

This research project aims to use a combination of historical data and physics principles to determine a ratio of batteries to gasoline to power a vertical takeoff and landing aircraft. The physics method that will be used is called momentum theory. Momentum theory is a simplistic model of helicopter flight that determines how much power […]

In the context of a global increase in waste production and waning natural resources, this research intends to promote the shift to a circular economy in the Ontario construction industry. The work includes a literature review, an industry survey, structured interviews, and a period of testing assessment tool(s) with real projects for local use. The […]

Unmet food preferences result in meal dissatisfaction and is a significant risk factor for decreased intake of food and fluids in culturally diverse older adults residing in long-term care (LTC) homes. Food choices are based on traditional, religious, and personal taste that is part of an individual’s culture. Menu planning practices need to be culturally […]

Automated and early identification of plant diseases from their leaves is an important task in agriculture and can have positive impacts on crop yield and quality. Crop pathogens and pests reduce the yield and quality of agricultural production. They cause substantial economic losses and have a direct impact on food security and nutrition worldwide. Due […]

Corporate sustainability reporting is becoming mainstream. An increasing number of investors considers and integrates environmental, social and governance (ESG) criteria in their investment analyses. However, corporate sustainability data is still costly, not standardized, and sometimes even missing, Hence, the project will analyze how AI can be used for standardized corporate sustainability accounting and reporting. Based […]

Le projet de recherche a pour but de valoriser les sous-produits et résidus miniers de l’industrie de l’aluminium. Pour rendre possible cette valorisation, le projet consiste à évaluer des options d’utilisation des résidus de bauxite et sous-produits, comme ingrédients dans les recettes d’enrobés bitumineux (enrobés de surface, enrobés de liaison et grave-bitume). L’objectif principal est […]

Atmospheric behaviour will change substantially with Climate Change and is one of our generation’s most pressing challenges. The world requires accurate estimates of future the impacts from droughts, floods, heat waves, increase hazards, from freezing rain to hurricane to plan, prepare and mitigate. Combatting climate change requires reducing our emissions in a strategic way. Current […]

Gene therapy has risen as one of the more promising treatment options for disorders of the central nervous system (CNS). Using modified viruses to deliver genetic material has shown success however has several disadvantages including increased safety risks. Using a non-viral vector system has the potential to overcome many of the challenges that arise with […]

This research project aims to build a greater understanding of the diet of endangered Atlantic whitefish. The only wild population in the world inhabits three lakes of the Petite Rivière watershed in Nova Scotia. The species has great historical significance being the most primitive of all whitefish species in Canada. Yet, there is little known […]

Computer Vision techniques and algorithms, especially those involving deep neural networks, are now predominant in robotics and autonomous driving. These algorithms have found immense success in urban scenes for autonomous driving, and visualize 3D maps of cities. However, like most deep learning solutions, they do not generalize well over a large varieties of inputs. Thus, […]