Global food security is one of the most pressing issues of our time. Developing new farming practices and technologies that take advantage of large amounts of data collected from a myriad of different sensors offers our best bet for a greener future, with a stable supply of nutritious food for everyone. A move toward digital […]

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. […]

In many applications, we need to find the right person with the required expertise (skills) for some task. To enable this, it is necessary to extract and organize the skills of different persons in a taxonomy. This project aims at developing a taxonomy of skills for the National Bank of Canada. Currently, a small taxonomy […]

This project aims to build a tool that will help the company automatically gather and analyze data from multiple platforms, such as Google Analytics, Linkedin and Hotjar. This tool will save the company time by removing the need to manually gather and analyze data and will also help the marketing team finding the best strategy […]

Conversion des veilles et diagnostics manuels en une solution intelligente / traitement des données externes à l’organisation

Cette recherche vise à développer un outil prototype qui nous permettra de reconstruire les mémoires collectives des peuples indigènes et de comprendre leur approche vis-à-vis de la gestion des enjeux d’adaptation aux changements climatiques auxquels ils sont confrontés. La plupart des peuples indigènes cultivent la fidélité aux plus profondes mémoires qui à la fois relient […]

As more and more people record their lives and actions in Social Media, it has become an invaluable resource for the study of society’s opinions and sentiment. From individual life events (e.g., someone’s purchase of a digital camera) to collective events of major societal impact (e.g., the onset of the COVID-19 pandemic), social media has […]

Data anonymization focuses on removing any personal or other information that would identify an individual or a set of persons from a given collection of records. In addition, anonymization should also mask information that could potentially be combined with other publicly available data to re-identify the individuals. This project aims to study data anonymization for […]

As much of the performing arts activity has moved to the virtual space over the past eighteen months, an effective online presence, as well as an efficient way to reach potential audiences has become essential for arts organizations everywhere. Information that can be machine processed effectively is key to a successful online presence. However, existing […]

There is an increasing demand for food production to meet the ever-growing world population. As such, effective management of farm resources is quite critical for the optimal operation of farm enterprises to meet the demand. This project intends to develop an automated approach to detect and analyze fruits using a camera system. One internship programmer […]

Recent years have seen a great amount of success in using deep learning in publicly available and standardized datasets such as ImageNet. However, deep learning methods fail to perform as well in a lot of real-world applications such as medical imaging datasets. One potential reason for this challenge is that deep learning models tend to […]

A hybrid computational framework for short-term flood prediction in urban watersheds (characterized by overland runoff) will be developed to improve prediction accuracy. The framework aims to accurately predict an event, e.g. flood or no-flood, as opposed to traditional methods which estimate water flow characteristics, e.g. 6 feet above flood stage. Successful early prediction of these […]