IMMERSe: the interactive and multi-modal experience research syndicate

The purpose of this project is to provide insight into how game-based learning can be used to motivate positive workplace behaviour and learning over time. The intern will work with an established industry partner that has deployed a game-based learning platform for the workplace, and analyze user performance and motivation data that the industry partner […]

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Translating a Quantum Computing Actor-network through Controversy

Quantum computing has emerged as a new paradigm of computation with potentially far-reaching consequences. However, this change in the form, abilities, and characteristics of computation has not been well studied or theorized in communication studies and related fields. This project draws upon Actor-network Theory (ANT) to challenge the assumptions about computation/computers found in current writing […]

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Investigate machine learning algorithms to detect anomalies incomputing infrastructures in real-time

Metafor is developing a new class of IT system management solution to monitor computer and application activities, and alert when anomalous behavior occurs. Current commercial tools for anomaly detection use simple statistical rules and thresholds to detect anomalies. These methods are failing for today’s dynamic cloud environment where change is constant. As a result, IT […]

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Developing New Strategies to Evaluate Capital Construction Project Planning

Construction companies spend significant amounts of resources on front end planning (FEP). The potential to obtain substantial benefits from a strategic implementation of front end planning practices across an entire portfolio have made the evaluation of FEP an important issue for both project leaders and scholars. The opportunity now exists to mine the constituent elements […]

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Évaluation de la faisabilité d’utiliser et d’implanter le programme Jintronix à domicile dans le but de prévenir le déclin fonctionnel chez des aînés encore autonomes qui consultent les urgences

Chaque année, environ 10% des canadiens autonomes (65 ans et +) subissent des blessures mineures (fractures, entorses) conduisant à un déclin fonctionnel (pertes de mobilité et d’autonomie). 65% d’entre eux auront recours aux urgences après leurs blessures et 18% auront un déclin fonctionnel 3 à 6 mois après leurs consultations aux urgences et seront dans […]

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Detection of Coalition Attacks for Online Advertising

As the Internet has become part of people’s daily life, online advertising has also been more and more popular for its instant global communications. Of a number of factors on the cost of the advertising, a major consideration is the number of views of the ads, clicks to the ads, and conversion generated by the […]

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“KnowMe Privately” – Conceptual design and prototypical implementation of a privacy-preserving, consumer-facing health portal service for active patient engagement and increased provider awareness

The aim of the project is to design effective informational security and privacy controls for a new type of patient health portal that will empower patients to share contextual information about their values, priorities and beliefs with members of their extended circle of care. Knowing “what matters” to patients is important for clinical decision-making in […]

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Machine Learning developer intern working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services sector – AltaML

The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The […]

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Management and mining of big energy sector data

With advances in techniques, high volumes of valuable data are generated in many domains (e.g., energy sector) at a rapid rate. Consequently, a scalable and flexible system for efficient storage and fast management of these distributed data is needed. In this proposed research project, we plan to design and implement a cloud-based data storage & […]

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Implémentation d’un pipeline TALN pour la structuration de textes cliniques par concepts médicaux normalisés (UMLS, SNOMED-CT-CA)

Le projet vise à développer une infrastructure capable d’exploiter les informations cliniques contenues dans les dossiers médicaux électroniques. Une grande partie des données médicales du Québec est consignée dans ces dossiers, mais les textes n’ont pas de structure précise et restent difficiles à exploiter automatiquement. Cette complexité peut ralentir la prise de décision médicale et […]

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Security Investigation and Solutions to Online Advertising Fraud Problems

The market share of online advertising, also known as Internet advertising, has been increasing dramatically in recent years. On the other hand, malicious behaviors, such as click fraud, have degraded the effectiveness of online advertising. Via fraud clicks, a considerable amount of revenues have been lost to fraud conductors. For instance, based on a report […]

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Intelligent Knowledge-based Digital Assistant for Enhancing Customer Service in a Fundraising Management Organization

Customer service operations in fundraising management organizations often face the challenge of handling large volumes of repetitive inquiries during high-demand periods such as festival seasons, raffle result announcements, and charity campaign launches. Traditional customer service support methods cause delayed responses due to limited staff availability, resulting in customer dissatisfaction. To address these challenges, we propose […]

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