This project involves funding an intern who will work on the conduct of a on going clinical trial, including helping with participant recruitment and data collection. The intern will also build a research database for the trials data to be stored in and will assist in the input of the trial data into the database. […]

The evolving resistance of pathogenic (bad) bacteria to antibiotics is already causing a large number of illnesses and deaths not only in Canada but throughout the world. Countries are calling desperately for new drugs to address these bacteria that are becoming untreatable by current drugs. Viotika Life Sciences has identified a new platform of drugs […]

To make best use of technology on available big data (e.g., airport parking reservation data), we design and develop an innovative big data science solution for constrained dynamic pricing for airport parking reservations in the proposed research project undertaken by the intern. From scientific point of view, such a solution is novel in the sense […]

Reconciling the deep-seated inequities between Indigenous and non-Indigenous peoples in Canada is perhaps Canada’s most pressing goal. Yet at present, there is neither an agreed-upon definition of reconciliation nor a way to measure it, complicating progress toward it. To address this gap, in the current research we will develop the Canadian Reconciliation Barometer. Specifically, in […]

Biking is a common physical activity enjoyed by children and adults around the world. Children with disabilities may not be able to use a standard bike but can participate using bikes that are customized based on their individual needs. There is some indication that adaptive biking has physical and psychosocial benefits. However, there is a […]

Tile drainage is becoming popular as a way to control excess moisture in the field to increase productivity. Yet, the economic return on investment (ROI) on installing tile drainage is not known for wheat, canola, and soybeans in Manitoba. This research will allow us to assess the impact of water management through controlled drainage on […]

In this project, we design and develop a big data analytics system, which is expected to support the advancement in the state-of-the-art in modeling the dynamic risks associated to emergency responders being delayed at active rail crossings. The model will be used to show risk within cities and support prescribed solutions to mitigate the impacts. […]

Modern electric power systems are moving rapidly towards large-scale adoption of renewable energy resources. While this is immensely beneficial for sustainability and the environmental impact of energy systems, it challenges the ways we have developed to operate our continent-wide power systems. In particular we will face large frequency swings that come about as we replace […]

This project will extend on our labs initial findings that current q-RT-PCR based screening strategies for COVID-19 patients can fall within variant regions of the SARS-CoV2 viral sequence and may potentially lead to false negative results. This project, in collaboration with BioXplor will lead to the development of online bioinformatics tool that will allow tracking […]

Wastage threatens the sustainability of fisheries, ecosystem integrity and the food sovereignty of Indigenous communities. This project will explore the promise of value-added fish products in order to improve productivity and revenue of Indigenous fisheries. This project centers on Indigenous values, traditions and community priorities as these products are developed in collaboration with fishers from […]

Beyond the devastating physical health crises, COVID-19 and its related social distancing measures has wreaked havoc on the economic-, mental-, and social-health of Canadians. The Association for Canadian Studies has been collecting behavioural, economic, and social data from Canadians weekly since March 9 and continues to do so. Our goal is to identify the socioeconomic […]

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. […]