Defect-Controlled 2D Material Platforms for Quantum Light Sources

The development of quantum technology is exciting frontier being pursued globally due to its potential for transformative innovations across information security, communications, medicine, energy and more. A critical component if the availability of robust quantum light sources. This research focuses on a promising approach – creating quantum light sources that can operate at room temperature. […]

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Accroître l’autonomisation du personnel pour favoriser l’innovation au sein de l’écosystème aérospatial québécois : étude des déterminants et des retombées potentielles

Avec l’arrivée rapide des technologies émergentes et les objectifs du secteur aérospatial en matière de développement durable, les entreprises du secteur aérospatial québécois doivent aujourd’hui adapter leurs pratiques de gestion afin de demeurer compétitives sur le marché et attrayantes pour le talent. Alors que les modèles existants de gestion de changements suivent plutôt une approche […]

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Path planning algorithm design for autonomous surveillance and coverage task

This project aims to develop a system that improves how robots with restricted operating ranges plan their indoor paths for cleaning or surveying. By dividing indoor spaces into manageable areas, the system will enable robots to complete their jobs more efficiently, optimally covering all necessary ground. This project involves both algorithm development and its implementation […]

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Development of normal physiological behaviour classification using multi-modal biomarker dataset towards machine learning-driven medical devices.

This project aims to develop a large, labelled dataset of normal canine behaviour for use in developing machine learning algorithms to detect abnormal animal physiological behaviour. These machine learning algorithms will enable veterinarians to collect high-quality data of their patients in their natural environments. This innovative solution has the potential to improve the quality of […]

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Exploring Age-Related Changes in Multisensory Integration using Machine Learning tools

The project “Exploring Age-Related Changes in Multisensory Integration using Machine Learning tools” aims to investigate how changes in neurotransmitter concentrations influence the way young and older adults integrate multisensory information and perceive time. Its main method of investigation involves applying machine learning tools to analyze the extensive dataset collected from behavioral tasks, Magnetic Resonance Spectroscopy, […]

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L2M – Daku Tech Personal Locator Beacon

Our project’s specific idea of developing an advanced personal locator beacon (PLB) tailored for commercial fishermen holds immense potential benefits for Canada. By enhancing the safety and security of fishermen navigating the country’s vast and often treacherous waters, our innovative PLB technology has the potential to significantly reduce the alarming rate of occupational injuries and […]

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L2M-Willow

While online will generators have gained popularity, the process of creating and storing a will remains complex, time-consuming, and insecure. The lack of robust security measures for these digital documents can create significant challenges during probate proceedings, compounding the distress for those already grieving. Willow offers a secure and streamlined solution, with software that simplifies […]

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L2M – Remote Estimation of Ocean Sound Speed

Our technology remotely measures sound speeds in ocean depths using acoustic techniques, eliminating the need for physical sensors to be lowered into and raised from the ocean. As sound speed is a crucial parameter in most ocean acoustics systems, our remote measurement capability revolutionizes ocean acoustics and oceanography by providing real-time sound speed data. Attending […]

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