Project 4C: Cumulus Cloud Cluster Computing

Forests are one of Canada’s greatest commodities in terms of natural resources—almost two-thirds of British Columbia alone is populated by forests, measuring 60 million hectares. Worldwide, forests continue to impact global infrastructure, economy and environment. Understanding how to monitor and track usage and health of our forests is essential for the management and longevity of […]

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Development of Optical Clearing Materials Towards Oral Lesion Pathology Screening with Optical Coherence Tomography

The early identification of oral cancers will help to reduce serious complications and death associated with these diseases. Currently, identification of cancerous tissues relies significantly on visual identification during oral exams before more accurate further testing is performed. The use of optical coherence tomography (OCT) has allowed for more accurate initial identification of cancerous tissues, […]

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Improvement of covid-19 treatment with machine learning

Currently, testing the population more at risk to be severely ill is a cumbersome process. There is a limit to the capacity and the resources of the healthcare system that show a need to be more efficient in discovering infected person. Being able to quickly detect infected person helps reduce the risk of infecting others […]

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Pattern Recognition and Event Forecasting to Increase the Performance of Industrial Bioprocesses, in an Effort to Accelerate the Sustainable Development of the Transformation Industry

The first objective is to use ML to reduce the modeling error in predicting the end-of-growth of a batch, reducing the emission of CO2 and water consumption of synthesized products. The second objective is to formulate the algorithms to facilitate its integration into our analytics solution. The third objective is to validate shared learning when […]

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Generating a COVID-19 vaccine using ministring DNA and virus-like particles

The COVID-19 pandemic is a global health crisis on an unprecedented scale, with over 1 million confirmed cases, spread over 200 countries. With the world at a virtual standstill, and no existing treatments, there is an enormous need for novel therapeutics and vaccines to combat COVID-19. Our group is working on a DNA vaccine strategy […]

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COVID-19 Monitor: a rolling public opinion study on the dynamics of the pandemic

This project will undertake a year-long rolling study of public opinion across eight countries—Canada, the United States, the United Kingdom, Australia, New Zealand, France, Germany and Brazil. It will measure the health, social, and economic impacts of COVID-19 throughout the duration of the pandemic and during its immediate aftermath. The study will be comprised of […]

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Mitigating Snowy Owl Aircraft Collisions by Relocation

To aid in active management of Snowy Owls and other raptors at airports, it is essential to understand the spatial distribution and movement behaviour of birds both on and off the airfield. The impact of airfields on birds may be particularly pronounced because airfields provide open, undeveloped land similar to early successional habitats that are […]

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Machine learning and the COVID Black Box: Safe monitoring of COVID-19 ICU beds, assessment centres, and surgeries

The project aims to optimize healthcare provider and patient safety and monitor PPE use, to optimize resource utilization during the COVID-19 pandemic. Assessment of surgical data from an operating room is a complex process that may require significant resources such as expert input and advanced technology. Automation brings a considerable opportunity to greatly reducing these […]

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Development of an integrated online enzymatic micro-fluidic chip for glycoprotein analysisusing Chip-Cub QToF mass spectrometry

Glycoprotein analysis is very important in different field such as cancer and pharmaceutical research, as ‘more than 70% of the proteins are glycosylated. However, the sample preparation of glycoprotein for glycan profiling is very tedious as includes many enzymatic steps that could go for -36 hrs. This project aims to develop a one chip reactor […]

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