Herd Navigator (HN) is a “precision technology” for dairy cow management based on in-inline milk sampling and advanced data analysis. This system has recently come to market in Canada. The proposed project will combine analysis of data from the HN system and controlled field trials to develop and validate best management practices for health, production […]

In 2006, the Government of Ontario introduced “Places to Grow: Growth Plan for the Greater Golden Horseshoe” to control urban sprawl, protect farmland and green spaces, create complete communities and revitalize downtowns and urban centres. Key specifications include minimum intensification targets, such as requiring 40% of new residential development to occur in existing built-up areas. […]

This project will train a Master’s geology student to use a variety of geological and geophysical datasets and concepts to define the stratigraphic architecture of deeply buried sandstones used for CO2 sequestration at the Aquistore site in Saskatchewan. The extent to which these sandstones form a single continuous body, or are compartmentalized, will affect their […]

The fast-growing market demand for food products with high nutritional qualities requires innovative and sustainable technologies. The proposed process employs an electrostatic technique to selectively charge proteins, carbohydrates, fibers, and other components in the bean flour and separate them based on the magnitude and type of their charge. The proposed methodology produces protein-rich flour from […]

This project is associated to the creation of a circular economy around styrene-based plastics such as polystyrene, acrylonitrile-styrene copolymer (SAN) and ABS (acrylonitrile-butadiene-styrene) terpolymer. Polystyvert has developed a technology that transform ABS post-consumer materials that come from electronics, car parts, toys ect. in a recycled SAN (rSAN) of high purity. This solvent-based technology is green […]

This research project aims to investigate the role of social media in information warfare, focusing on Russian propaganda campaigns related to the war in Ukraine. By collecting and analyzing tweets, the project will identify narratives and strategies used in these campaigns. The data will be classified and employed to train a machine learning model capable […]

Multidisciplinary automated design-optimization (MDO) is a rapidly growing field of interest in sectors as diverse as architecture, engineering, science, and more. Often the computational cost of doing such optimization can be staggeringly high, requiring hundreds of computers connected through high-performance networks with complex custom designed software to support it. To address these problems, we propose […]

One Health is a collaborative approach between multiple stakeholders working together to manage large scale issues that impact humans, animals and the environment. This method has never been used with smaller scale, regional issues before. A new framework developed by the Canadian Animal Health Surveillance System (CAHSS) has the potential to adapt One Health principles […]

This project will develop computer-based decision support tools for portfolio constructions for retail investors. The tools will enable investors to access powerful quantitative frameworks for structuring investment portfolios as well as analysing existing portfolios in terms of risk and return. Typically, these tools have been only accessible to institutional investors or large financial institutions but […]

Peanut products are known to contain allergens capable of causing severe and life threatening allergic reactions. Classically, Ara h 1, Ara h 2, and Ara h 3 are considered to be the major peanut allergens, whereas Ara h 9 is the most prevalent allergen in Mediterranean countries. Current detection methods of peanut allergens are expensive […]

Imagine a world where youth with Intellectual and Developmental Disabilities (IDD) and mental health concerns can access tailored mental health services with ease. Collaborating with Sunnybrook Hospital, this research aims to make this a reality by addressing the challenges faced by transitional aged youth with IDD’s through a family focused navigation approach. Family Navigators are […]

GestureLogic is building a product that optimizes athletic performance. The product is a wearable sensory network that monitors muscle activity. The goal of this research is to take this inherently complex muscle data that is acquired by the sensory network and translate it to useful biometrics for the consumer with the help of intelligent algorithms. […]