The retirement home sector in Ontario is rapidly expanding, given the need for assisted living services to support an aging population, coupled with health system issues related to hallway health care and a deficit of long-term care capacity. However, there is no research on this sector to inform policies related to risk assessment, quality of […]

This research project seeks to identify and draw attention to the historical factors leading to the underrepresentation of Indigenous workers in unionized sectors of the construction industry; the problematic relationship between Indigenous workers and their non-Indigenous counterparts, employers and trade unionists; and past and present efforts to address these problems. This work will aid in […]

Idiopathic pulmonary fibrosis (IPF) is a chronic and fatal disease lung disease with unknown cause. There are limited treatment options for IPF and investigations into new treatment options is needed. BOLD-100 is a clinical-stage small molecule that is currently being investigated as a treatment option in oncology and viral infections. The pathway that BOLD-100 impacts, […]

In Finance, the use of Automated Trading Systems (ATS) on markets is growing every year and the trades generated by an algorithm now account for the majority of orders that arrive at stock exchanges. Historically, these systems were based on advanced statistical methods and signal processing able to extract trading signals from financial data. However, […]

Powder Metallurgy (PM) and Metal Additive Manufacturing (Metal AM) are sets of processes to produce net-shape or near-net-shape metal parts from metal powders, and so they offer material and energy saving. These processes, however, require powders of strict specifications like particle size distribution and shape. Water Atomization (WA) of a molten metal is a cost-effective […]

Quick Response Research has long allowed social, behavioural and economic science researchers to collect and integrate valuable first-response data in time-sensitive environments. This type of research is conducted during or shortly after an extreme event and allows social science researchers to collect perishable data that wouldn’t be accessible otherwise. While quick response research has been […]

The proposed research project to be undertaken is to develop a fully functional online RFP management application that is secure, intuitive, and is well positioned for acceptance and adoption by the biopharma industry, with focus on the Innovator (sponsor) and Provider segments. The expected benefit to the partner organization is the ability to provide a […]

This project is to purpose to use computer vision to identify the various error types during the operation of 3D printers to boost their throughput and enhance their application in the manufacturing industry. Nevertheless, due to the lack of precision and controllability inside the printers, engineers cannot achieve a reliable printing process and acceptable quality […]

We use optimization and analytics, within a dynamic experiment setting, to help determine a business-to-consumer matching platform transaction fees and improve customer engagement. During the course of the project, a graduate student intern will gain deeper understanding of designing and running dynamic experiments and learn more about using optimization within game-theory models. The intern will […]

COVID-19 impacts on travel are unprecedented, affecting virus-spread, transportation services delivery, and how people will eventually safely participate in economic, educational and social activities. These impacts vary substantially across neighbourhoods, often worsening existing inequities in Canadian cities. This project will accelerate research for deriving insights about COVID-19 from TELUS network location data. Specifically, it will […]

Deep learning (DL) algorithms have achieved phenomenal success in different AI applications in recent times. Training DL algorithms require huge computational resources. Therefore, cloud or high-performance computing at the edge are obvious choices for this task. However, during inference cloud computing is not a suitable choice because of latency issues. There are billions of devices […]

In many cities, fleet operators are evaluating the potential environmental benefits of replacing gasoline-fuelled vehicles by alternative vehicles, particularly electric vehicles. In this process, reductions in energy consumption and greenhouse gas emissions can be achieved. In this project, the company HDR proposes to partner with the Transportation and Air Quality (TRAQ) research group at the […]