Reduction of Software Rework Through theMitigation of Cognitive Biases

The work proposed will lead to mechanisms for reducing or eliminating selected Cognitive Biases – automatic, unconscious elements of the human reasoning system known to cause decision errors. While Cognitive Biases have been studied for decades, there has been almost no research into how to reduce or eliminate their effects. The end goal of the […]

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Prédiction d’un indicateur de performance de ligne de production

Le passage des entreprises à l’industrie 4.0 à pour but de propulser la productivité, réduire considérablement les coûts de production et d’améliorer grandement la qualité des produits. Le projet a pour but de démontrer à l’entreprise partenaire que l’utilisation de modèle prédictif d’apprentissage machine afin de prédire un indicateur de performance (KPI) de ligne de […]

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Disaster Recovery and Cloud Bursting as a Cloud Service

Cloud computing has revolutionized the way organizations consume computing power as a service. Infrastructure as a Service allows a company to move away from purchasing computing, networking, and storage resources to purchasing from a service provider in a public cloud. This project will research and develop off-site encrypted virtual machine storage and disaster recovery planning […]

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Understanding and designing the female pelvic anatomy, a measuring device and an intravaginal device using 3-dimensional modeling techniques and Artificial Intelligence

Pelvic Organ Prolapse (POP) is a condition 1 in every 10 women is diagnosed with. The current non-surgical treatment for POP is an intravaginal device called pessary which has a 40% failure rate as its shape is not fitted to the female anatomy. Poor pessary design and performance arises from the limited data that is […]

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Improving Health Information System Safety: Development of Novel Approaches for Identifying, Tracking and Preventing Technology-Induced Error

In Canada healthcare is being modernized and transformed through a range of new healthcare information technologies and systems. Applications of information systems such as electronic health records (EHRs), electronic medical decision support and an increasing range of mobile health applications promise to transform and improve healthcare and increase patient safety. However, although such technology has […]

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Seq2Hypergraph: Link prediction on knowledge graphs using relation conditioned Transformer Networks

Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing new modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through graph neural networks and transformer […]

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Bacon Financial Technologies Inc. – Hardbacon

Hardbacon s’apprête à lancer un nouveau produit afin de répondre au contexte d’incertitude économique créé par la pandémie du Covid-19. Non seulement les Canadiens sont plus soucieux que jamais de payer moins de frais sur leurs services financiers, mais la plupart des entreprises offrant des comparateurs ont mis fin à leurs programmes d’affiliation en raison […]

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Design of a Route Generating Algorithm for Demand-Responsive Public Bus Services

Blaise Transit seeks to grant public transit agencies the ability to replan their bus lines in real-time based on requests made by riders using the Blaise app. The main objective of this project is to design and implement algorithms ensuring this business goal can be achieved, namely by continuously improving Blaise’s current routing algorithm.

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Using Bayesian Learning paradigms to enhance the clinical utility of an AI decision support tool for mental illness.

The Machine Learning team at Aifred Health is aiming to improve the performance of their core decision support models and the intern will assist in the development of a system that will intelligently iterate across dozens of unique model configurations to find the best performing one by leveraging previous configurations and their performance outcomes. The […]

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Evaluating Latency in Virtual Production Pipelines with Integrated Prediction Model for Motion Capture Data

Virtual Production (VP) is seeing a dramatic spike in interest and adaptation as the global film industry, particularly Hollywood, has been shutdown due to Covid-19. Virtual production is a broad term referring to a spectrum of computer-aided production and visualization filmmaking methods, and is also being used for broader applications from animation to industrial visualization. […]

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