Using machine learning to predict and attribute mortality to non-adherence to medication among patients with asthma and/or COPD

This project has two objectives. At the individual level, we propose to develop, using artificial intelligence, a predictive tool useful in the doctor-patient relationship. It will indicate the five-year risk of death for asthma and COPD patients based solely on individual electronic information already recorded by the provincial health insurance organism: sociodemographic factors and the […]

Read More
Development of framework for deployment of Canadian agromineral waste as soil remineralizers with verifiable carbon drawdown potential

It is essential that additional carbon removal capacity and strategies are developed in the near term to facilitate Canada’s national climate goals. In addition, farmers are seeking sustainable methods of crop production that support soil health. Agromineral waste refers to materials generated from mineral processing activities that possess agronomic value in terms of potential benefits […]

Read More
Scenario based learning project – Develoment of new e-learning multi media offerings.

Leaf Electrical Safety, an engineering services company delivering electrical safety solutions to its clients. They provide four main products to their clients: arc flash studies, electrical safety training, electrical safety program audits, and electrical safety program accelerator (coaching, training, and support for electrical safety program development). With these products they help reduce the risk of […]

Read More
Artificial Intelligence Based Control of Dispension Vision Systems

Dispension’s core business is the development of intelligent kiosks equipped with peripheral technologies that are designed for distribution of restricted products (ie: alcohol, pharmaceuticals, cannabis, nicotine, etc). Dispension’s technology stack includes a series of vision systems that utilize different types of cameras to perform specific tasks. Among these systems include a thermal camera that takes […]

Read More
LysisLogic – Nazil Abdul Azeez

In this strategic project, LysisLogic Scientific Inc. aims to accelerate the commercialization of its innovative technologies. The project involves a detailed examination of the current technology portfolio and the creation of comprehensive innovation roadmaps. These roadmaps will blend R&D strategies with business tactics to streamline the path from lab to market. Expected benefits to LysisLogic […]

Read More
Development of polymer hydrogels to support engineered stem cell-derived liver tissue function and implantation

Morphocell has developed a cell therapy platform for the treatment of acute and acute-on-chronic liver failure, consisting in the implantation of organoids that can fulfill the liver’s main functions. These liver tissues are embedded within a hydrogel that forms a support to the biological material. This hydrogel enables the diffusion of all nutrients, small molecules […]

Read More
Historical Chemical and Mining Extractivism and Indigenous Jurisdiction over Infrastructure in Northern Ontario, Canada

This research project will provide an original historical overview of the connections between metal and mineral mining, metal and mineral mining chemical production, material transport via road and railway infrastructure, and Indigenous jurisdiction, in the Northern Great Lakes bioregion of Ontario, Canada. The intention of this project is to use a historical perspective gleaned through […]

Read More
Evaluation of lodgepole pine drought resilience in interior BC

Forestry is a cornerstone for many communities, and maintaining forest ecosystems is critical for habitat conservation and the maintenance of wildlife. The aim of this project is to build knowledge that will aid in promoting sustainable forestry and more resilient forest ecosystems. Climate change is increasing the severity and frequency of drought events. In this […]

Read More
Floor plans Generation: Using deep learning to improve functional output

Maket is developing a generative pipeline for schematic floor plan creation that can adapt to various user-defined constraints and preferences. Maket plans to improve the functional output of the platform by using a machine learning approach that can produce floor plans representing the diversity and quality of those in the real world, while respecting the […]

Read More
3D Image Representation for Gameplay Automation

AMD graphics cards are extensively used for computer games, and testing their performance involves manually playing various titles on multiple configurations. Automated gameplay can save time and effort during this process. However, using game images as input presents challenges for reinforcement learning (RL) agents, specifically in player navigation and movement. This internship aims to develop […]

Read More
Methodologies in removing microplastic pollution from effluent and open water of the Rideau River

The project aims to evaluate microplastic removal technologies from wastewater effluent and surface water of the Rideau River in Ontario Canada. A specifically designed net with a novel mesh product that has been developed to capture microplastics will be deployed to a wastewater effluent stream to test removal capabilities. Furthermore, removing microplastics from surface water […]

Read More