Improve workplace wellbeing using AI and organizational behavior software platform

behaviours within a given organization. This will allow to remedy and/or remove the counterproductive, and to enhance and enable positive behaviours, civility and engagement. The platform that will be developed is unique and distinctly not social feedback nor 360-degree feedback. The cloud-based systems that will be developed should detect, measure, map, correct, and sustain the […]

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Pattern Recognition in an Internet of Personal Health (IoPH) Platform

Providing meaningful health and wellness information is important in order to sustain an effective healthcare system in a society. In the last decade, manufacturers have launched a wide range of health monitoring devices. However, these devices provide mainly numbers, e.g. steps and heart beats, without reporting health conditions. Salu Design aims to transform a simple […]

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Twitter Data Processing

Given the plurality of voices available on the I nternet, it is often difficult to estimate the level of expertise of the individuals that one encounters in cyber-space. On the other hand, it is also difficult for any individual expert to establish their credibility in this sea of screaming voices. Therefore, it is desirable to […]

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Secure Multiuser Distributed Storage allowing Collaboration

A true blind party is a service provider that does not have access to unencrypted data of its clients. We note that, in such an environment, the client must securely maintain the many keys that may be required for the files. In addition, if there are collaborating organizations, the client must securely deliver the appropriate […]

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Separating Syntax and Semantics for Semantic Parsing

Study of language disorders, theoretical linguistics, and neuroscience suggests language competence involves two interacting systems, typically dubbed syntax and semantics. However few state-of-the-art deep-learning approaches for natural language processing explicitly model two different systems of representation. While achieving impressive performance on linguistic tasks, they commonly fail to generalize systematically. For example, unlike humans, learning a […]

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Apprentissage automatique de paramètres de règles de sécurité pour OfficeProtect

Office 365 est une plateforme infonuagique de Microsoft qui regroupe plusieurs services très populaires tels que Word, Excel, Outlook, OneDrive, Teams. Sherweb, une entreprise de Sherbrooke, offre un produit appelé Office Protect qui permet détecter des activités anormales dans Office365. Office Protect est complémentaire aux services de surveillance offerts par Microsoft et il est mieux […]

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Optimiz AIOps data normalization and visualization

Approximately 70% of data collected by ITOps is not actionable, either due to lack of timeliness or context, and real-time normalized data stored in a data lake is needed to produce actionable data. Also, AIOps tools are often poorly configured and lead to alert fatigue. The benefit to the partner organization is that they will […]

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Évaluation de la performance de librairies Python de prédiction permettant l’analyse de séries chronologiques de transactions et soldes bancaires afin d’alerter précocement les clients/membres Desjardins d’une possible insuffisance de fonds et éviter de charger des NSF fees

La prédiction est un domaine récent qui connaît de grandes avancées grâce à la démocratisation des connaissances via le web et l’augmentation de la puissance de calcul des ordinateurs modernes. Dans le cadre de ce projet effectué au Mouvement des Caisses Desjardins, ces techniques seront évaluées, documentées et testées vis-à-vis différents cas d’utilisation financiers (gestion […]

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Constrained dynamic pricing for airport parking reservations

To make best use of technology on available big data (e.g., airport parking reservation data), we design and develop an innovative big data science solution for constrained dynamic pricing for airport parking reservations in the proposed research project undertaken by the intern. From scientific point of view, such a solution is novel in the sense […]

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Applications de l’apprentissage statistique en assurance voyage

Ce projet de recherche est fait en collaboration avec le département de Recherche et Développement de la compagnie Optimum Réassurance Inc. Il a pour but de faire usage des concepts et des outils d’analyse prédictive, de l’apprentissage automatique et statistique pour développer des méthodes de modélisation et de prédiction des réclamations et des comportements des […]

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Radar-based Real-Time Detection of Overdose Incidents in Small Public Spaces

This project aims to train machine learning models that use millimetre-wave radar data to non-invasively detect health incidents, such as overdoses in public bathroom stalls. The partner, Brave Technology Coop, has developed a small, wall-mounted, radar sensing unit on which we want to directly deploy real-time gesture detection software, an instance of cutting-edge “Edge AI.” […]

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Investigating Communication Patterns for Improving Teamwork in Digital Games

Competitive team-based digital games like League of Legends, Overwatch and Dota 2 are increasingly popular. These games require intense teamwork but achieving good teamwork is challenging because teams typically comprise of strangers who need to learn to work together in an extremely short amount of time. The match outcome depends on how quickly teams develop […]

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