This research project will investigate the sales skills that enable salesperson performance for the modern sales environment. This will help to improve recruiting practices for organizations and will enable organizations to better prepare their employees for sales-related positions, and better prepare the existing sales team by incorporating the findings of this study in their sales […]

This research project will seek to explain differences among non-profit organizations in terms of their resilience to the crisis generated by the COVID 19 pandemic. By studying 10 firms that have exhibited strong resilience and then 10 similar firms that have struggled, we will seek to better understand what might account for stronger resilience in […]

Depuis plusieurs semaines, la COVID-19 bouleverse plusieurs aspects de la société, tels que les liens sociaux ou économiques. Parmi les nombreux secteurs affectés, le domaine de la culture est particulièrement touché au Québec et partout dans le monde. Par exemple, les regroupements tels que les festivals, expositions ou spectacles sont maintenant annulés. Cela pose donc […]

The detection of SARS-CoV-2, the causative of COVID-19, is challenging because the used techniques, such as nucleic amplification, cannot detect a whole virus. Instead, it amplifies nucleic acids that can be fragmented with no information about the presence of an infectious virus. We propose to use a technology based on the use of a physic […]

Le secteur des arts et de la culture est l’un plus touchés économiquement par crise de la COVID-19. Cette crise impose aux organisations culturelles de profondes transformations tant sur le plan de leur modèle d’affaires que de leur gestion. La reprise de leurs activités exigera aussi des adaptations importantes. Ce projet de recherche vise donc […]

Organic waste disposal in landfills can produce a massive amount of methane, which is a potent greenhouse gas contributing to global warming. Once the landfill is filled, it is usually capped by a clay cover or geomembrane that can trap methane but not reduce it. Changing a part of the conventional cover by compost to […]

We are building a machine learning system to help clinical experts accurately label medical notes with diagnosis codes. This will make it faster and cheaper to train machine learning models to identify important codes, including those related to infectious diseases and COVID, in large amounts of medical notes.

As the COVID-19 pandemic complete eradication will at least take 2-3 years, putting the country under complete lockdown is an impractical solution. Hence, Computing and Data Analytics research group at Saint Mary’s University (SMU-CDA) proposes a collaboration with Agyle Intelligence to develop a complete framework using Data Analytics and Machine Learning that can help citizen, […]

In this research, occupancy monitoring data, temperature and humidity, and water quality parameters data collected through image processing and Internet of Things (IoT) sensors from multiple swimming pools are going to be processed and analyzed to identify the meaningful relations between these parameters and freshwater usage. The aim is to identify correlations between parameters and […]

As location is an integral part of both population and individual health, there is an emerging role for geospatial artificial intelligence (GeoAI) technology in health and healthcare. Novel infectious diseases such as COVID-19 are associated with population density, environmental factors, and interactions between humans and wildlife. GeoAI technology can be used to collect and analyze […]

The COVID-19 pandemic has had an unprecedented global effect. While social distancing and proper PPE can minimize the spread of the virus, at risk populations have remained vulnerable. With additional waves of infection are likely to occur, there is an urgent need for an innovative protective solution. In the current project, we will repurpose a […]

We are building a machine learning algorithm to be able to better understand the messy clinical notes that doctors write on patients and to automatically structure them. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how […]