The reliability of transit buses is essential for the cost-effective delivery of public transportation services. This research aims to improve the reliability of transit buses through optimized operational maintenance planning. We specifically wish to develop a mathematical optimization model that would help transit operators in deciding which bus components to repair during a maintenance intervention. […]

Hearing aids are a common form of treatment for individuals suffering from a hearing impairment [1]. These devices work by collecting sound from the surrounding environment and amplifying that sound in the patient’s ear to improve hearing [2]. These devices work well under most conditions however, in noisy settings such as a busy restaurant, hearing […]

A new groundwater monitoring will be conducted consistently throughout the precipitation period (May~October) to collected a seasons worth of data around the “Engineered Forest”. The newly collected data will then be compared to historical values of the FRWMF to see if there are any observable differences between the two. This will prove there is no […]

Upcoming legalization of marijuana provides many opportunities for all Canadians. Licensed Producers (LPs) are the main providers of medicinal cannabis to patients and will be the main suppliers for recreational market. The significant disadvantage in the current environment is the limited number of strains available to LPs. Sundial Growers have acquired a collection of Cannabis […]

À la fin du XVIIIe siècle et au début du XIXe siècle, le chemin du Portage était l’une des voies de circulation canadiennes les plus importantes et les plus empruntées. L’organisme Patrimoine et Culture du Portage souhaite documenter l’histoire du chemin du Portage afin de générer du contenu scientifique pour illustrer deux expositions et développer […]

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]

Smart Phones are fast becoming ever-present personal assistants – personal assistants which become more useful and productive with the inclusion of Natural Language Processing power. For many users, smart phones have become their go-to-device for industry news feeds, checking email and scheduling their agenda. The sheer quantity of text which is read on these devices, […]

On assiste ces dernières années à des performances de calcul des processeurs graphiques permettant le traitement en temps réel d’images et de vidéos. Ce projet exploite ce type de technologie afin de développer un module embarqué pour des applications d’apprentissage profond et de vision par ordinateur. Un des objectifs principaux du projet consiste à développer […]

The Freshwater Oil Spill Remediation Study (FOReST) project will use small contained oil spills in enclosed environments within a lake to study examine the effectiveness of shoreline cleanup procedures and potential ecological impacts of oil spills. The resilience of freshwater aquatic ecosystems to recover from a spill will also be examined. We will examine the […]

The diagnosis of Parkinson disease (PD), the second most common neurodegenerative disorder in the developed world, is based entirely on clinical criteria which are labour-intensive to apply and often inconclusive. Based on promising initial data from our laboratory, we will determine whether biochemical measurement of the enzyme, heme oxygenase-1 (HO-1) in saliva samples distinguishes PD […]

Diphtheria is still a disease causing significant morbidity and mortality in people worldwide that did not received vaccination or suffer from incomplete immunization. The disease is due to a powerful toxin produced by the pathogenic bacterium Corynebacterium diphtheria. A good vaccine already exists but its production is rather complex and involves several steps: cultivation of […]

The goal of this research project is to develop novel techniques to solve different tasks for character animation using deep neural networks and generative modeling. Namely, we wish propose a novel approach for transitions generation, in which clips of character animation can be linked together with a novel clip. This transition will be generated by […]