Coronaviruses are a large family of viruses and COVID-19 is a new disease from this family that has not been previously identified in humans [1]. Those who are infected with COVID-19 may have little to no symptoms and may take up to 14 days to appear after exposure to COVID-19 [2]. It’s possible to detect […]

This project proposes the use of carboxylated cellulose nanocrystals (CNCs) – developed and manufactured by Anomera Inc. from Canadian forests – as nano-inclusions to tailor a set of properties in latex-based PSA nanocomposites towards enhanced performance. Due to their unique properties, CNCs can significantly enhance the mechanical performance of latex-based PSAs. Project results are expected […]

Testing for SARS-CoV2, the virus that caused the condition known as COVID-19, is done using a RT (reverse transcriptase) PCR-based test to detect the target viral RNA. These probes are prepared by conventional solid phase synthesis on controlled pore glass using O-DMT-(2-N-FMOC-4’-aminobutyl)-1,3-propanediol (OFP) as the linker. Approximately 1 kilogram of OFP has been manufactured per […]

Emerging public health risks are typically characterized by uncertainty in the evidence-base (i.e., a mosaic of clinical, laboratory, and/or epidemiological evidence, that is often unclear and not uncommonly conflicting). Given this uncertainty, it is often difficult for decision-makers to discern if action is warranted. The question of how compelling the evidence base ought to be […]

It is essential to develop a vaccine against SARS-CoV-2, the virus causing the global COVID-19 pandemic. The most efficient vaccines are built on attenuated live viruses, which can be engineered to display specific antigens and, once administered in humans, can safely induce an immune response and immunity to the disease of interest. Fast, reliable, and […]

The proposed project aims to apply artificial intelligence methods to augment in-place non-destructive testing technologies in order to reduce or eliminate the need for intrusive methods (i.e. concrete core extraction) for concrete strength estimation. The proposed approach is based on the SonReb method, which combines two non-destructive testing technologies, namely ultrasonic pulse velocity and rebound […]

As the COVID-19 pandemic has made painfully clear, it is both important and difficult to analyze the large volumes of patient data collected by hospitals and other healthcare providers. Ideally, data would be widely-shared between institutions, and experts and teams with diverse backgrounds would be able to contribute to the analysis. Unfortunately, this is not […]

PolyCSAM is a new industrial-scale cold spray additive manufacturing (CSAM) facility created by Polycontrols to address production and industrialization challenges. It serves as a demonstrator and an innovation/development platform. A recent strengths, weaknesses, opportunities, and threats (SWOT) analysis revealed that the supply chain is solid and diversified for all key components, with the exception of […]

Recreational river waves are gaining more and more popularity, but there is not enough academic research to support them and a few companies around the globe can artificially create them by adjustable structures in rivers. Surf Anywhere, the Calgary-based partner organization in this research, is one of those few companies which has completed and is […]

Coffee is one of the world’s most popular beverages due to the delivery of caffeine and diverse flavours. The genetics of how caffeine is processed in the human body is fairly well understood. With the decrease in cost and increase in popularity of consumer genetics, we are interested in learning how modern genetic analysis techniques […]

The multi-billion dollar fashion industry has a problem: many of the high-performance fabrics used in clothing are neither sustainably produced or environmentally friendly. However, there is a considerable market gap in sustainable textiles. Canadian corporations like Proteins Easy Corp are tackling the sustainability problem head on and actively seeking environmentally friendly solutions. This proactive approach […]

The proposed research will develop novel distributed machine learning techniques for stable resource allocation and improving traffic estimation in networks. It is a well-known fact that networks are becoming complex and user demand is growing in many directions including the traditional demand for capacity and less delay, as well as improvements in Quality of Experience […]