Psoriasis is an auto-immune disease in which the T-cells (type of blood cells involved in fighting infection) mistakenly attacks the cells within the body leading to formation read scaly patches or plaques on the skin. Plaque Psoriasis that occurs in 80-90% of the patients is associated with anxiety and depression that negatively affects patients social […]

Optimizing plant processes is of prime importance now more than ever. With stricter infrastructures being placed on safety, environmental effect, and corporate social responsibility, more complex systems that optimize these factors are needed. These complex systems with advanced algorithms are intended to further streamline the existing process while mitigating issues leading to a safer workplace, […]

L’importance de la foresterie dans l’économie nécessite de réaliser des études permettant de comprendre et résoudre les impacts que cela produit, pouvant affecter la durabilité des zones productrices. L’orniérage est l’un de ces impacts qui sont connus mais pas toujours contrôlés. Certaines zones connaissent des disparités importantes pouvant conduire à une modification du milieu à […]

Le but de cette étude est de réaliser une séparation magnétique de la magnétite (oxyde de fer) contenue dans le résidu de bauxite calciné, dans le but de le valoriser. L’étude se déroule en plusieurs volets : la caractérisation du résidu de bauxite, phase expérimentale de séparation et le développement d’un modèle mathématique. La caractérisation […]

Mental health is increasingly being recognized as a key component of elite athletes’ overall functioning and sport performance. Globally, research on antecedents (e.g., sport culture) and consequences (e.g., athletic performance) of mental health and illness in elite athlete populations is growing. However, little is known about the relationship between mental health, mental illness, sport culture, […]

Golder Associates Inc. is the Technical Lead Consultant on the Environmental Assessment for the expansion of the W12A landfill of the City of London. One key aspect of this project is landfill design alternatives and the impact on air quality and, specifically, odour issues. The proposed project aims at providing critically valuable information regarding local […]

British Columbia’s (BC) resident killer whales are listed under the Species At Risk Act as ‘threatened’ and ‘endangered’ for the northern and southern residents, respectively. Contaminants have been recognized as one of the main threats affecting the survival and recovery of these populations. This project will look at the levels of contaminants of concern in […]

Le projet a pour but d’analyser le comportement d’un fluide diphasique, mélange de bauxite et d’eau, dans un classificateur à fond plat soumis à l’effet de plusieurs paramètres. Une étude expérimentale utilisant un classificateur à échelle réduite permet d’effectuer les mesures de fraction solide (pourcentage de solide dans l’échantillon) aux sorties du classificateur, ainsi que […]

How technology relates to Canadian national defence policy, strategy, and planning is not well understood. To date, much of the research on emerging technology in the military focuses on concerns over ethics, privacy, human rights, and governance, largely overshadowing equally important research on the way technology intersects with military strategy and tactics, defence recruitment and […]

The handling and storage of perishables like vaccines are critical to retain medical potency and effectiveness for patient administration. The delivery of vaccines can succumb to several pitfalls such as physical damage, losses in transit and expiration. One of the primary causes of vaccine wastage is a result of heat and freezing of the biological […]

We’d like to address the issue of 3D reconstruction from 2D images. This means developing a machine learning algorithm that can take a regular photo as an input and generate a full 3-dimensional reconstruction of the contents of the photo. Such technology can be used creatively or to help the coming generation of robots better […]

Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through graph neural networks) and Statistical Learning […]