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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Development of a data processing and machine learning pipeline using non-invasive diffuse reflectance spectroscopy eye imaging for Alzheimer disease screening

Alzheimer’s disease (AD) is a progressive neurodegenerative disease and is currently the most common cause of dementia, affecting approximately 50 million individuals worldwide. RetiSpec has developed a non-invasive, label-free retinal imager that can uniquely detect and quantify AD biomarkers – namely, signatures of A? aggregates. The combination of hyperspectral imaging and machine learning may be […]

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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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Novel approaches for longitudinal control laws of commercial aircraft

The A220 aircraft, former CSeries, is the first commercial aircraft certified by Bombardier with fully augmented Fly-by-Wire Control Laws. The longitudinal controller gains are usually scheduled across the flight envelope according to relevant aerodynamic variables. Their tuning can be a lengthy and, sometimes, sub-optimal process. Hence, it is key for Airbus Canada to continue developing […]

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Comportement énergétique de l’Axionaut dans un contexte 5G

Les innovations de la 5G, en particulier au niveau de la diminution de la latence des transmissions et de la déportation des calculs proche de la source ouvrent la porte à l’utilisation du réseau cellulaire pour effectuer des opérations de contrôle. Avec ce projet, nous souhaitons explorer le potentiel d’optimisation de la consommation électrique d’un […]

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Elaboration d’une analyse fonctionnelle technique pour un système de pompage constitué de plusieurs stations en réseau et pour un système SCADA appliqué aux stations de pompage d’eaux usées

Le présent travail de recherche vise à élaborer une analyse fonctionnelle technique pour un système de pompage constitué de plusieurs stations en réseau dans un environnement informatique spécifique dénommé SCADA appliqué aux stations de pompage d’eaux usées. Une synthèse bibliographique sera réalisée sur les études antérieures et les systèmes utilisés pour l’optimisation du fonctionnement des […]

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CBCT dose planning for adaptive radiotherapy solutions

Adaptive radiotherapy (ART) consists of adjusting irradiation at each treatment phase in response to changes in the patient’s body (such as weight loss) or from the patient’s change in position. Indeed, since initial dose plans are determined from standard CT, the initial dose distribution may vary and yield sub-optimal dose delivery. Intra-procedural imaging such as […]

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Developing a hybrid optimization model for matching and pricing strategies in an intelligent freight transportation platform under uncertainties

The freight industry market is complex and dynamic and has many challenges such as inefficient operations, coordination issues, lack of shipment visibility, market volatility, cargo thefts, road incidents, and quality assurance of sensitive products. Recently, the COVID-19 pandemic situation has brought new difficulties to the freight industry in Canada and worldwide. An intelligent platform for […]

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