At St. Michael’s Hospital (SMH), having insight into patient flow throughout the hospital is essential to resource planning and operational efficiency. When patients are admitted, discharged, or transferred in the hospital, several actions need to be taken to ensure patients receive timely care and resources do not become backlogged. Improving patient flow reduces wait times, […]

The constrained vehicle routing problem is a typical optimization problem with many real-life applications, such as last-mile route planning for delivery services. The goal is to find the optimal routes for a set of vehicles to deliver all the packages, such that the time and cost of delivery is minimized, sometimes with additional constraints such […]

The intern will first determine which one of the two modules in the Ubiquity product is more likely to be improved using the machine learning and deep learning methods, and then implement the proposed method or research on other methods. To improve the sensitivity of the pricing and promotion module towards the small price changes, […]

Throughout the COVID-19 pandemic, there has been an emerging need of using new advances in information and communication technologies (ICT) to improve our healthcare system to manage a massive influx of patients. Indoor geolocation techniques and optimized traffic management algorithms are substantial for serving a large number of patients in healthcare centers while respecting procedures […]

Organizations across various industries struggle to deliver personalized offerings and expanded access for target populations. Developing sub-population profiles will help identify priority sub-populations with the greatest potential to benefit from personalized support and intervention, and inform the development, targeting and delivery of personalized offerings. The objective of this research project is to enhance Deloitte’s Market […]

Les produits cosmétiques et de santé naturels représentent le segment dont la croissance est la plus rapide au cours des dernières années dans le marché des produits de soin. Ces produits ont des applications variées dont l’efficacité repose sur le choix des ingrédients actifs. La luzerne produite au Québec par le partenaire, propose un ingrédient […]

Pleasant aromas fill our homes and enrich our lives, whether it’s by helping us relax after a long day’s work or evoking some of our fondest memories. This project will test scented fabrics prepared by Aroma Textiles Lab for their ability to inhibit the growth of the bacteria that are commonly found on our skin […]

Traditional 3D reverse-engineering and prototyping involves 3D modeling and manual parts recognition. With the advent of 3D scanning technologies, it becomes possible to automate this workflow. This research internship aims at creating a novel mechanism to automate the process of assembly recognition, as part of a new workflow of 3D interactive prototyping. The research will […]

Operating a fleet of autonomous robots introduces challenges such as reduced safety for humans working around the robots, reliability of intern communication of the robots, coordination behaviour of the robots, etc. At Fourien we have developed autonomous robots which work very well as stand alone units but there is a need of development of a […]

Comment réconcilier l’idéal du ‘plan parfait’ avec la problématique pragmatique de l’habitation? Ce projet explore la rencontre entre deux aspects fondamentaux de l’architecture résidentielle – entre l’architecture comme manifestation formelle et spatiale des idées pures, et l’architecture comme réponse pragmatique aux problèmes spécifiques de l’habitation. Le projet examine la problématique de l’habiter et les réponses […]

L’usage excessif des plastiques à l’échelle mondiale engendre de grands défis liés au control de la pollution, particulièrement dans les océans, mais aussi au niveau de l’empreinte carbonique de leur production. Dans le contexte de crise sanitaire actuel due à la COVID-19, les équipements de protection personnel sont nécessaires et leurs utilisation, obligatoire, a augmenté […]

The objective of this project is to create market sentiment indicators for cryptocurrencies. Market sentiment indicators are built from text analysis of exchanges on Twitter and other sources, that may include embedded or references images (e.g., price curves) and videos. The text dataset for cryptocurrencies may have a very structure from that of traditional currencies. […]