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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Using semi-supervised learning for classification of sport images

Artificial intelligence (AI) is rapidly becoming one of the most critical aspects in both business and science, and an increasing number of leading technology companies in Canada are at the forefront of AI development and innovation. The proposed research project aims at developing AI algorithms that have the ability to accurately classify the sport practiced […]

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An efficient heuristic algorithm for laboratory analysis profile selection

In health care industry, the tests of laboratory analysis are organized and priced in the format of profiles. Each profile contains a specific group of tests. The price of a profile is usually lower than the sum of the prices of individual tests included in the profile. In this project, the intern will develop a […]

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Future Safe: Designing Efficient Face Masks in the Era of COVID 19

With the surreal times we are living in the context of Covid-19, wearing face masks has become a global public necessity. While many people are wearing face masks, not all masks are created equal. From very expensive high-tech respirators with multiple layers of filtration, to homemade face masks using less than ideal fabrics, the general […]

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The Scleroderma Patient-centered Intervention Network (SPIN) COVID-19 Cohort and COVID-19 Home-isolation Activities Together (SPIN-CHAT) Trial

People with the autoimmune disease scleroderma are vulnerable in COVID-19 due to frailty, lung involvement, and immunosuppression; they are representative of vulnerable groups in terms of COVID-19 mental health ramifications. No previous randomized controlled trials have tested mental health interventions during infectious disease outbreaks. We leveraged our existing ongoing cohort of over 2,000 people with […]

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Utilizing Materials Informatics to Predictively Engineering the Micro-Mechanical Properties of Hydraulic Turbine Steels

Cost-effective clean energy production is one of the most urgent economic and societal issues facing Canada today. Hydro-Québec is a world-leader in clean hydro-electric energy production – an essentially carbon-free source of energy. However, the repair and replacement of hydraulic turbines utilized in hydro-electric power production has two important consequences on clean energy production: (1) […]

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Positive Youth Development and Youth Sports during the COVID-19 Pandemic

The goal of the project is to understand how athletes have been affected by the COVID-19 pandemic. Through online surveys and interviews, the researchers hope to learn about the way the pandemic. They also want to know what athletes are doing to cope and how their families and coaches are supporting them. Study findings will […]

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Efficient Deep Learning Methods that Only Require Few Labeled Data

In this postdoc, we plan to focus on computer vision tasks where existing deep learning methods require lots of labeled samples to work well. Acquiring labeled samples is time-consuming and often impractical. Thus, we investigate three different classes of methods to alleviate the label scarcity problem: active learning, weakly-supervised learning, and few-shot learning. In active […]

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R&D of Cannabis extraction and purification technologies

The intern will work with the company PBE Expert on the field; she will gain technical experience on the cannabis industry. Specifically, she will research and work on cannabis extraction and purification techniques. She will research problems and issues faced by cannabis producers in regards to the extraction and purification techniques. In the lab, she […]

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