Depression is an illness that impacts 1 in 6 people during their lifetime. While there exist a number of medications to treat this illness, half of those whom need them either do not respond or can not tolerate current medications because of side effects. Therefore there is an urgent need to develop new ways to […]

Ocean industries in Canada contributes about $31.7 billion a year to the economy and make up 1.6 percent of the country’s gross domestic product. Canada has tremendous opportunity to build on the outcomes achieved to date, harness our collective national strengths and resources. Canada’s ocean industries sector can help drive our economic recovery. It will […]

Our intern will support the planning and execution of projects and operations across Canada. Goodlawyer is currently in a scale up stage and our MBSI intern will be central to our efforts to grow our user base and make Goodlawyer a success. Most projects will revolve around digital marketing and marketing automation through a variety […]

Gini Health has designed a personalized mHealth and eCounseling intervention for the management of Type 2 diabetes in the South Asian community. For this project, the intern will analyze and interpret secondary, anonymized data that have been collected by the Gini Health team in the implementation of their T2DM management program. Gini Health will benefit […]

In this project, we propose a modular continual learning approach to face the problem of catastrophic forgetting and transfer in learning from evolving task distributions. Concretely, we propose a model that learns how to select most relevant modules based on a local decision rule for a given task to form a deep learning model for […]

Chaque jour, des decisions doivent etre prises quant a la quantite d’hydroelectricite produite au Quebec. Ces decisions reposent sur la prevision des apports en eau dans les bassins versants produite a l’aide de modeles hydrologiques. Ces modeles, qui transforment les precipitations en debits, prennent en compte plusieurs facteurs, dont notamment la presence ou l’absence de […]

This research project will create data dashboards that measure Kingston’s economic resiliency a year into the pandemic. The data will be collected from multiple organizations and sources to create a comprehensive look at the pandemic’s impact. The data dashboards will cover the areas of business and tourism, health and community, mobility and home and employment. […]

The representation of the Black, Indigenous, and People of Colour (BIPOC) community decreases at higher levels of education/academia. This phenomenon is proverbially referred to as the ‘leaky pipeline’ and has been studied extensively with various populations in multiple disciplines. However, despite scholars identifying some key factors that contribute to the persistence of the BIPOC community […]

Researchers are often tasked with finding related works in their respective field, including journal entries and images that represent the work contributed, which allows researchers to summarize and expand previous contributions. Biological researchers often convey their contributions through visual illustrations, also considered gene model maps. These gene model maps are used to represent how contributions […]

Ontology induction from unstructured text is a long standing goal of Natural Language Processing (NLP). An ontology can serve a number of tasks, such as question answering, Information Retrieval to name a few. In fact, practice communities are often relying on an ontology in their daily decision making process. This is the case of IATA, […]

With the availability of low-cost edge devices equipped with color and depth sensors, such as iPhone or iPad, 3D data capturing is becoming more accessible and convenient. Asset managers and building owners seek benefiting from this potential to accurately and automatically create 3D indoor models of buildings. In particular, having 3D indoor models containing objects […]

Le monitoring en temps réel des bioprocédés permet d’augmenter les performances et de réduire les pertes. La principale difficulté provient de la quantité limitée d’information accessible en temps réel et des phénomènes complexes et fortement non-linéaires en présence. Ainsi, les algorithmes statistiques conventionnels ne permettent pas d’interpréter adéquatement et avec la précision requise en pharmaceutique […]