This project aims to develop a tool for cities and municipalities to use to negotiate and evaluate how large real estate development projects coming into communities, especially vulnerable neighbourhoods, can provide benefits back to that community. The specific focus of these benefits is on providing work and training opportunities for local residents, as well as […]

Le monde agricole québécois est à la recherche d’alternatives écologiques aux produits phytosanitaires conventionnels dont l’utilisation massive provoque des effets négatifs sur l’environnement et la santé humaine. Dans cette optique-là, le projet Mitacs propose d’étudier le potentiel antifongique et herbicide de liquides produits par pyrolyse de biomasse lignocellulosique. La pyrolyse est un procédé qui décompose […]

Pain is among the top 3 most common reasons for seeking medical help. ManagingLife has developed a mobile-based app, called Manage My Pain, to help chronic-pain patients by providing a simplistic, customizable and comprehensive interface to track pain symptoms and pain experience at a frequency chosen by the users. ManagingLife is interested in understanding the […]

A safe video platform can provide a healthy and suitable environment for users in general and children in particular. This project aims to utilize machine learning and deep learning techniques to identify and flag sensitive and questionable content (e.g., content related to violence, sexuality, etc.). The algorithm will leverage video frames extracted from the database […]

Understanding the impacts of human-driven disturbance on carnivore communities is an important step for prioritizing conservation decisions and managing land-use policies. Disturbances such as landscape development may influence how species structure their activity periods over the 24-hour cycle and potentially compromise the capacity for competitors to avoid costly encounters with each other. Few studies to […]

The industry partner, Cantest is establishing a new leak detection procedure for analyzing data sources in aboveground storage tanks and statistical learning models to monitor AST shell dynamics and product activity over time. This is an important problem as identifying leak detection is usually associated with various environmental data and records collected from sensitive sensors […]

The research project aims to develop new computer models for accurate representation of battery energy storage systems that are used in modern power systems. In particular state-of-the-art modular multi-level converters with integrated dc-dc converters will be considered. The models to be developed will provide high levels of accuracy and feature low computational intensity so that […]

Battery energy storage systems are used in electric utilities for a variety of applications including back up power for critical equipment. Manitoba Hydro is evaluating two battery chemistries for use in its substations, namely Li-ion and sodium-nickel chemistries. Along with assessment of technical merits of each battery type to determine which chemistry best suits the […]

Regulations are introduced to ensure the well-being, safety, and other societal needs of citizens and organizations. Yet, regulators often have difficulties assessing the performance of their regulations, and whether regulatory initiatives actually improve compliance. This project’s main objective is to investigate the suitability of a framework combining a standardized goal modeling notation with an existing […]

According to the Agriculture and Agri-Food Canada, Canada produced 1.2 billion kilograms of chicken with chicken products worth $2.5 billion. Domestic consumption of chicken in 2016 was 32.5 kilograms per person. Canada exported over 5.3 million chicks worth over $13.4 million, mainly to the United States. That same year, 134.1 million kilograms of chicken meat […]

One of the most promising strategies for discovering our future medications is via fragment-based lead discovery (FBLD). FBLD involves the screening of libraries of small molecules to first identify weak binders to essential target proteins of diseases. These binders are then synthetically matured to larger, more potent inhibitors/leads via medicinal chemistry design efforts. However, there […]

Manual performance, configuration and fault management of Cloud Data Centers is vulnerable to human intervention and therefore subject to human errors. One way to circumvent this problem is to use automation of the Cloud Data Center operations based on advanced technologies which may include Machine Intelligence. As it is known in mobile industry applications/systems are […]