Agricultural Anomaly Detection using Temporal Dynamics of Remote Sensing Data

This project is about using artificial intelligence to interpret agricultural remote sensing data. We will develop new means to integrate repeated imagery data of targeted agricultural fields to pinpoint agronomically significant anomalies (e.g., water or nutrient stress, crop pathology, weeds, etc.) and provide field managers easy to follow recommendations guiding development of the most cost […]

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Characterization of aerosols generated by various dental procedures

Dental procedures generate a large quantity of airborne droplets. With the concern that COVID-19 transmits through respiratory droplets, dental personnel are at high risk of being exposed to the virus if an asymptomatic patient comes to their clinic. However, limited studies have been performed on the characterization of aerosols generated during dental procedures, how far […]

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Detecting and Mitigating Adversarial Attacks on Covid-19 Monitoring Solutions

COVID-19 outbreak has changed the world and forced majority of the population to lockdown and isolation. With the lockdowns easing, and things returning to the new normal, it is important to follow the isolation protocols such as social distancing and wearing of masks for containing the outbreak. While there is no denying the efficacy of […]

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Evolutionarily guided rational design of vaccines, antibody therapeutics, and accurate serological assays for COVID-19

Efforts to contain the spread of COVID-19 have failed and we face an ongoing pandemic that has already infected millions of people world-wide. There are currently no drugs or vaccines that have been approved for the treatment of COVID-19, and existing blood tests for immunity suffer from inaccuracies. Moreover, since antibody or vaccine development can […]

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Develop a web based geospatial artificial intelligence framework to track, visualize, analyze, model, and predict infectious disease spread in real-time.

As location is an integral part of both population and individual health, there is an emerging role for geospatial artificial intelligence (GeoAI) technology in health and healthcare. Novel infectious diseases such as COVID-19 are associated with population density, environmental factors, and interactions between humans and wildlife. GeoAI technology can be used to collect and analyze […]

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Development of online rapid cognitive-motor assessment tool to monitor COVID-19-related dysfunction post-discharge

There is recent evidence that surviving COVID-19 (particularly following ventilator use) could result in changes to how well your brain controls functions important for daily living. Currently, however, there are few choices for clinicians to test these functions prior to hospital discharge and at follow-up. This project will develop a web-based cognitive-motor integration assessment tool […]

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Formulation of Environmentally Sustainable Growing Media Using Industrial Waste Streams as Nutritious Amendments

In light of the national emphasis on climate change and clean growth, the federal and provincial governments have set key goals for developing and implementing globally sustainable production and consumption models in ways that improve the environment. The agricultural industries are seeking innovation and new technologies to develop more choices and alternatives in the raw […]

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Smart Over-the-Road Loading Matching Suggestions

Freight service is an integral part of any business that supplies or sells physical goods. Even though its importance is often hidden from consumers, the sight of trucks and cargo vans on city streets and highways can make one appreciate the extent to which freight service impacts our lives. In North America, many carriers (i.e. […]

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Optimization and Analysis of an Adhesion Radial Turboexpander

It is estimated that 20-50% of the energy consumed by Canadian manufacturing processes is ultimately lost via waste heat. Recovering energy from this waste heat will significantly reduce the energy consumption and greenhouse gas emissions of Canadian industry. The proposed research project will conduct a computer-based analysis of a novel waste heat recovery concept that […]

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Quantifying the oxidization of polysaccharides and optimizing dextran-bovine serum albumin glycation conditions for development of a new pneumococcal vaccine

Pneumonia remains the single leading cause of childhood death under age 5 worldwide. The price per dose of current vaccines is high and supply is limited due to a complex manufacturing process and low yield, significantly reducing its distribution in developing nations. A newly patented vacuo dry-glycation process promises much higher efficacy than the conjugation […]

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