Additive manufacturing (AM), also known as metal 3D printing, can revolutionize the way we make things by ‘printing’ parts one layer at a time using a laser and metal powder. However, AM is an inherently expensive process. One of the major costs of the process is the metal powders, with some powders costing hundreds of […]

With the increasing popularity of Internet, online advertising becomes a new marketing opportunity by instant globally advertisements (ads). At the basis, the process of online advertising can be considered as a buyer/seller relationship, where the two of the key participants are publishers (i.e. seller) and advertisers (i.e. buyer). Publishers make money through hosting websites with […]

Numerous industries and government agencies carry out analyses every day using inductively coupled plasma (ICP) instruments that typically waste 95% of the sample. A greener approach would not generate any sample waste. During this project, an infrared heated spray chamber will be developed and coupled to nebulizers from the industrial partner so as to allow […]

The project aims to improve disease prevention and control by including cognitive variables in dynamic models of disease epidemic. Classical compartmental models of disease dynamics are typically used to explore the extent to which an infectious disease propagates through the population, while cognitive factors such as misinformation and degree of compliance with public health measures […]

The increasing reliance on protein sources alternatives to meat-based products includes insects, which have not been extensively monitored or analyzed so far. Yet, there is evidence that insect may contain potentially toxic elements (PTEs), such as arsenic, mercury, cadmium and lead. The development of reliable analysis methods is required to monitor the levels of PTEs, […]

The project will manufacture new coatings that will repel ice. These coatings can be applied onto metal, wood, glass, etc, and in particular can aid in the prevention of ice build-up on wind-power turbines. The coatings will be comprised of new materials that have not been applied as ice-repellent (or water repellent) coatings before. In […]

Per- and polyfluoroalkyl substances (PFAS) are a very large family of persistent anthropogenic chemicals utilized in the manufacturing of industrial materials with non-stick and oil/water repellent properties, Teflon, and fire-fighting foams. Their use has resulted in their final dispersion in soil, groundwater, and surface water, causing adverse environmental and health effects. They are responsible for […]

Knee osteoarthritis (OA) can present in different ways. The relationships between the symptoms and their causes are mostly unknown, making it difficult to choose the best course of action. Being able to identify various contributor to symptoms would be extremely beneficial to determining the optimal course of treatment. We will develop a system that accounts […]

The proposed project aims to apply artificial intelligence methods to augment in-place non-destructive testing technologies in order to reduce or eliminate the need for intrusive methods (i.e. concrete core extraction) for concrete strength estimation. The proposed approach is based on the SonReb method, which combines two non-destructive testing technologies, namely ultrasonic pulse velocity and rebound […]

In multiple sclerosis, the protective coating around nerve cells called myelin and the brain cells that make myelin, called oligodendrocytes, are lost. In addition, research has shown that astrocytes, another type of brain cell, may have a negative impact on recovery in MS. Our project takes on a two-birds-with-one-stone approach to combat MS by delivering […]

Mining has been a major, invaluable source of wealth and employment for Canada. However, mining activities involve the release of heavy metals into the environment through its process tailings. These metals are highly toxic to the environment, but they are also recoverable and have high market value for other applications. There are various treatments to […]

Robotic sensor networks (RSN) are increasingly applied to Critical Infrastructure Protection (CIP). In such an application, a RSN is deployed to safe-guard some critical infrastructure (e.g., building, pipeline, etc.) in a secure and reliable fashion. By actively considering risk as a major driving force, this project aims at deciding on the optimal configuration of an […]