Methods for Recording Soundscapes Using New Technologies

This project aims to collect high-quality sound recordings of diverse environments for subsequent analysis and annotation to support the training of artificial intelligence models. The project will equip the intern with the skills needed to complete their PhD at their home institution following the international experience. Both institutions will benefit from further relationship-building, as the […]

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Design and development of branched polymers for advanced anion exchange membranes in water electrolysis for clean hydrogen production.

Anion exchange membrane water electrolysis (AEMWE) is a promising pathway for clean hydrogen production, enabling high efficiency while utilizing non-precious metal catalysts and cost-effective system components. A critical element in AEMWE systems is the anion exchange membrane (AEM), which facilitates hydroxide ion transport and maintains ionic separation between the electrodes under strongly alkaline conditions. A […]

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Development of a Novel Dicalcium Phosphate Cement-Based Construct [Brushite-Shell/Monetite-Core] for Controlled Degradation and Drug Release in Craniofacial Defect Repair Surgery

Craniofacial and maxillofacial reconstruction is often limited by insufficient autologous bone and the shortcomings of current graft alternatives, which can degrade unevenly, bond poorly, or fail to support vascular growth. These issues are especially critical in cases of trauma, congenital defects, or cancer-related bone loss, where reliable, bioresorbable grafts are essential. This project evaluates and […]

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Agrilo and Agrilo-VR: Field Validation and Real-World Deployment of AI-Driven Soil and Nutrient Sensing Systems in Kenya

Healthy soil is crucial for global food security, yet farmers face declining fertility, nutrient depletion, and rising fertilizer costs. These challenges are particularly pressing for smallholder farmers in Kenya, where timely soil information is limited. This project connects researchers from Canada and Kenya to advance Agrilo, a real-time soil nutrient sensing system, and Agrilo-VR, an […]

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G-BSIEM-PQC: Hybrid Consensus Architecture for Quantum-Resistant Security Information and Event Management (SIEM)

The G-BSIEM-PQC project is a pioneering cybersecurity initiative designed to fortify enterprise Security Information and Event Management (SIEM) systems against the existential threats posed by the post-quantum era. As quantum computing capabilities advance, the traditional cryptographic algorithms currently protecting critical infrastructure are becoming vulnerable to “harvest now, decrypt later” attacks. This research addresses this urgent […]

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Quantum network sensor for speed tracking

The advance of sensors can have important impacts to our lives, ranging from developing safer self-driving cars to more precise medical imaging. Quantum properties like entanglement can dramatically improve the sensitivity of sensors. This project will study a new type of quantum sensing that aims to track speed. A new design will be considered that […]

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Agrilo and Agrilo-VR: Field Validation and Real-World Deployment of AI-Driven Soil and Nutrient Sensing Systems in South Africa

Healthy soil is crucial for global food security, yet farmers face declining fertility, nutrient depletion, and rising fertilizer costs. These challenges are particularly pressing for smallholder farmers in South Africa, where timely soil information is limited. This project connects researchers from Canada and South Africa to advance Agrilo, a real-time soil nutrient sensing system, and […]

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System-of-Systems Solution with Quantum Simulation for Monitoring, Reporting, Validation, and Verification of GHGs/Carbon Cycle in Biodiversity Ecosystems for SEPLS to Strengthen Sustainable Frameworks Development

Title :System-of-Systems Solution with Quantum Simulation for Monitoring, Reporting, Validation, and Verification of GHGs/Carbon Cycle in Biodiversity Ecosystems for SEPLS to Strengthen Sustainable Overview: This project aims to develop a System-of-Systems solution using quantum simulation to monitor, report, validate, and verify greenhouse gases (CO2, CH4, N2O) and the carbon cycle in biodiversity ecosystems, particularly in […]

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Co-adaptation d’une formation sur la gestion du stress pour les producteurs

Le projet vise à co-adapter une formation sur la gestion du stress pour les producteurs agricoles. Ce projet correspond à la première étape d’un plus grand programme, où l’objectif sera d’évaluer l’intérêt et d’identifier les attentes des producteurs laitiers concernant la formation. La perspective sera de concevoir la formation à partir des réponses des producteurs […]

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