Canada is having a youth unemployment crisis that has only worsened post-COVID. At the same time, an untapped pool of young, diverse talent exists to fill entry-level positions. However, difficulties arise when trying to match youth with employers. In particular, youth have indicated that job postings can be unfamiliar or intimidating and ask for unrealistic […]

Cable systems play an important role in many large scale simulation applications. Examples include marine systems, mining machinery, and cranes. The high fidelity and efficient modelling and simulation of these systems can enhance the applications and usability dynamic modelling environments. In this project we particularly target to develop models and efficient algorithms based on nonlinear […]

Hoarding involves keeping so many objects that the home becomes unsafe or unhealthy. Due to fire risks and other issues, hoarding can also be unsafe for neighbours – risks that housing providers must manage. A common strategy in social housing settings is to evict the tenant or forcibly clean out the unit, traumatic practices that […]

In this project, a group of scholars in computer science and business proposes using state-of-the-art machine learning methods for secondary-data-based persona construction and preference prediction. Specifically, the researchers will use recent data dimension reduction methods to process the raw data, use new machine learning models to achieve better learning results, and use self-supervised technology and […]

Recent years have seen a wealth of clinical evidence accumulate in favor of the radiomics hypothesis, wherein standard-issue oncological medical images, such as CTs, PET-CTs and MRIs, exhibit reliable fingerprints of cancer tumor genetic makeup, enabling predictions of patient prognosis, treatment resistance and side effects to be made directly from an analysis of imaging data. […]

The goal of the project is to contribute to knowledge generation about mental health and addiction in rural Ontario by exploring the impacts of COVID-19 on the supply (employees) and demand (employers) of the labour market. In partnership with Gateway Rural Health this project will examine Huron and Perth Counties as case studies to explore […]

The general objective of the proposed activity is to increase the future productivity of Burrard Inlet and the contribution of seafood to the diet of Tsleil-Waututh Nation (TWN) members in support of the TWN Cumulative Effects Monitoring Initiative. Specifically, we propose to identify the primary environmental drivers of clam productivity and species composition in Burrard […]

This project will improve the learning capacities to recognize confidential information in documents of various formats. Thus, our project has to set up a technology (natural language process NLP and others) that emulates the way in which humans read a document and to process this information using inference rules and a master data.

In recent years there has been increased demand for investment solutions that are respectful of the environment. Some firms have answered that demand by committing to reduce their Carbon emissions in order to help with the transition towards a green economy. These firms, to which we refer as “transition firms” are thus natural candidates for […]

La pollution de l’environnement par les hydrocarbures pétroliers (HP) devient une problématique majeure. Plusieurs traitements chimiques, thermiques, biologiques, etc. des eaux et sols contaminés aux HP sont utilisés, in situ ou par excavation. Cependant, pour les applications in situ, les traitements biologiques paraissent comme une meilleure solution, car ils sont plus écologiques et répondent aux […]

Plan Monark est une démarche technologique de type SAAS sur le point d’être commercialisée. Afin de s’assurer que la démarche technologique réponde aux besoins des chargés de projet ou intervenants conseil qui l’utiliseront, Plan Monark désire soumettre sa démarche technologique à un test d’acceptation en plus de valider l’utilité de son indicateur de convergence (entre […]

IR imaging presents the temperature distribution of the exterior surface of a wall and is typically assessed through visual inspection by building science experts. A specialist must review numerous images one by one which is inefficient and inaccurate. The use of Unmanned Aerial Vehicles (UAVs) with IR camera attachments has become a method of faster […]