Social media integration into enterprise-oriented workflows is gaining widespread adoption due to factors such as crowdsourcing and inter-organization collaborations. The partner organization has an existing system that is working for helping Saskatchewan businesses grow by bringing educated youth into the province. Their system is for providing opportunities for people all around the world to live […]

Insider threat is one of the most damaging security threats to the safety of data, systems, and intellectual property of institutions. Typical threats caused by malicious insiders are trade secrets / intellectual property theft, disclosure of classified information, theft of personal information and system sabotage. Malicious actions of insider threats are performed by authorized personnel […]

Precision.ai is building solutions to minimize chemical consumption while maintaining weed control through Intelligent UAV based application. Precision.ai has working survey drones that can fly a field, capture images and use AI to map weeds to be sprayed later. Precision.ai also has “See & spray” drones that can fly a field, identify weeds and spray […]

The Earth Data Store project provides a cloud-based repository for information about our earth. This encompasses satellite information, environmental models, sensors, and many other types of data that allow users to ask questions of this data to help inform their understanding of the world. The outputs of the project will allow economic development to be […]

Ce projet vise le développement de modèles d’apprentissage automatique capables de détecter des inefficiences dans le fonctionnement des systèmes informatiques critiques, de prédire les instabilités applicatives, de fournir des recommandations pour une utilisation optimale des ressources, et d’améliorer l’estimation des besoins de rehaussement des systèmes informatique du Mouvement Desjardins. Ce projet s’attaque à trois secteurs […]

L’acquisition de données d’imagerie de diffusion est suceptible à un important problème de variabilité à travers les différents sites d’acquisition (e.g. Sherbrooke vs. Montréal) et à travers les fabricants (e.g. Siemens vs Philips). Puisque ces données de diffusion ne sont pas invariantes aux protocoles et scanners utilisés, il s’agit d’un problème de taille pour les […]

Dans les centrales hydroélectriques, les groupes turbine-alternateurs sont réparés et installés selon un calendrier de travaux. Compte tenu de leur taille, d’autres pièces doivent être déplacées pour accéder aux pièces à démonter, réparer ou à installer. Afin de déterminer le plan d’aménagement des pièces, plusieurs contraintes doivent être respectées : 1) le calendrier des travaux, […]

In this project, we build on these preliminary works and explore the capabilities of different machine learning techniques anomaly detections and predictions of network degradation issues. We also plan to develop ap-proaches to help Cable Network Operation teams triage and diagnose cable network issues efficiently. The results of this project will help Cable Network companies […]

There has been a dramatic increase in digital well-being products in recent years and there is a market saturated with ineffective user experiences and little to no sustainable, desired behavioural change. By assessing and enhancing the effectiveness of a personalized approach to digital well-being app interaction through machine learning and emotion-driven adaptive computing, we can […]

This project aims to predict demand and inventory shortages for better inventory management in health care institutions. This will initially allow for a reduction in the expenses generated by emergency orders placed during a stock shortage. Indeed, it will be possible for the establishment to order a larger quantity of the product from the supplier […]

The main objective of this research project is to evaluate and analyze the effect of music in well-being and state of flow of the human participants. First, we intend to design a set of scenarios, in which we collect qualitative and quantitative data via micro-phenomenology and biofeedback techniques. Then we analyze the collected data to […]

Schedulability analysis aims at determining whether task executions complete before their specified deadlines. It is an important activity in developing real-time systems. However, in practice, engineers have had difficulties applying existing techniques mainly because the working assumptions of existing methods are often not valid in their systems. Specifically, uncertainties in real-time systems and hybrid scheduling […]