Quantum Computing to enhance Machine Learning Accuracy

in this project, we are exploring the combination of quantum computing with machine learning to ensure a quantum-enhanced machine learning. We are focusing on the improvement of the accuracy and reliability of machine learning algorithms. While quantum improvements in supervised, unsupervised learning, and reinforcement learning have been reported, distributed models of machine learning such as […]

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Non-Contact condition monitoring system for outdoor ceramic insulators based on their radio frequency signatures

The research centers around the feasibility study of a method to detect faulty outdoor insulators and to classify the type of defects within the insulator. Every different type of defect results in a specific electromagnetic Signature that can be acquired using an antenna and oscilloscope. Using these Signatures some specific features (eg statistical or spectral […]

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Water dynamics monitoring in agriculture using compact polarimetry

Water dynamics monitoring in agriculture plays a crucial role in optimizing resource use, maximizing crop productivity, and promoting environmental sustainability in agricultural systems. It provides valuable data for informed decision-making, helping farmers address challenges related to water management and climate variability. Canada’s RADARSAT Constellation Mission Synthetic Aperture Radar (SAR) continuously monitors the Canadian agriculture. This […]

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Focus group execution as a step to Integrating Critical Design for Responsible Innovation

The project focuses on integrating critical design methods into the tech development workflow to address ethical concerns and promote inclusivity, diversity, and equity. As an intern, I will contribute to designing focus group questions, conducting focus group sessions, documenting the research group’s activities, and coding data from focus groups. Additionally, I will assist in organizing […]

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CrucialLogics Project Management Office Internship

CrucialLogics Project Management Office Internship. We are looking to hire two interns to play the role of Associate Project Managers to run Cloud Data and Identity Protection projects that leverage Microsoft Security solutions and Azure infrastructure. The duration would likely be four months and we intend to offer full-time employment to candidates who demonstrate the […]

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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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