LAMP assay development and qPCR validation of inoculum monitoring of diseases in field crops

According to the literature, up to 75% of all fungicide applications are either off-target or are applied where no disease is present. Paramoria Agri-Science aims to reduce that by providing farmers with real-time monitoring of disease-causing spore populations, such that pesticides are applied on an as-needed basis, rather than as-feared. Currently, Paramoria uses quantitative polymerase […]

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Emplacement, structural controls, and pegmatite crystallization in fertile temporal windows in the Winnipeg River-Cat Lake pegmatite field, Manitoba, Canada

This projects aims to understand the mechanisms responsible for lithium mineralization associated with hard rock in Manitoba, Canada. Lithium is seen as critical for the decarbonization of our economy and as such it is vital that we understand its origins and be able to predict where to find more in a sustainable way. Another objective […]

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Towards efficient building energy audits – An online platform for tracking multi-unit facilities

This research will aim to optimize Energy Conservation Measures (ECMs) selection, through an optimization algorithm to be implemented on an online building energy auditing platform. The initial estimates shows that the platform can reduce audit time and cost up to 70% and offers detailed live results for multi-unit residential, commercial, and institutional facilities. This platform […]

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Project Blinkem – Optical channel communication for Mixed Reality Systems

Project Blinkem is a novel approach to visible light communication, which aims to create a low-cost, scalable, and secure framework using existing technologies. The project proposes encoding data into Infrared LEDs, which can visually communicate with high-resolution image sensors on HMDs as well as a high-speed optical module. By leveraging the security benefits of visible […]

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Crack Detection in Concrete Bridges Using Machine Learning

Transport infrastructures are the backbone of our society and bridges are the bottleneck of the transport network. Climate change resulting in higher corrosion rates, and extreme climatic events are important threats to the reliability and safety of the transport network. This has led to growing concerns for the remaining service life of infrastructure under normal […]

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Insertion et maintien en emploi de membres des communautés anicinapek de Kitcisakik et de Lac Simon au sein de l’entreprise minière Eldorado Gold Québec : portrait et pistes de solution

Le taux de participation de la main-d’oeuvre autochtone est nettement inférieur à celui des non-Autochtones et les barrières à l’emploi persistent. Des recherches précédentes ont permis d’identifier les meilleures pratiques liées au recrutement, à l’insertion et à la rétention de la main-d’oeuvre autochtone au sein de l’industrie minière. Celles-ci sont majoritairement déployées là où le […]

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Indigenous Energy Justice and Offshore Wind Development

The intern within this position will work with Indigenous Clean Energy (ICE) to help co-design resources for Indigenous governments, such as research protocols, that will identify Indigenous Nations strategies for offshore wind development approaches to Indigenous Energy Justice to benefit diverse Indigenous seascapes. Additionally, this position will be responsible for coordinating and executing meetings and […]

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Predicting the exploitability of vulnerabilities

Everyday, hundreds of new vulnerabilities are discovered and disclosed to the users of the systems they affect. The sheer volume of vulnerabilities makes it difficult, if not impossible, for system administrators to rapidly address every vulnerability. Furthermore, research shows that only 5% of vulnerabilities are eventually exploited. This situation brings about a need to prioritize […]

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Model compression and inference optimization for UAV’s companion computer

With the evolution of computer vision methods in recent years, more and more scene-understanding methods have been proposed. Meanwhile, SOTI also designed and developed several scene-understanding algorithms. However, due to the limited computing capabilities of UAVs, all these algorithms need to be compressed to use fewer resources. This project will deliver a model compression and […]

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Secure and Practical Federated Learning with Multi-Key Homomorphic Encryption

Nowadays, our data is stored and processed in the cloud, and there are increasing privacy concerns. Federated Learning (FL) has recently emerged to allow users to keep their data private and collaboratively train machine learning models. To ensure that no client data can be revealed, there are multiple challenges in designing a system to be […]

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Healing Trauma Using Digital PTSD Therapies for Anyone, Anywhere

Savyn offers digital therapies based on Eye Movement Desensitization and Reprocessing (EMDR) and written exposure therapy, which are digitized and adapted versions of existing therapy protocols provided in person to heal trauma and PTSD. Savyn offers access to patients and clients who have PTSD but cannot get the help they need due to a shortage […]

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