Magnetic Modeling of B-Probes in Fusion Energy Devices

Fusion energy has the potential to revolutionize how we generate electricity, and pave our path towards a netzero carbon future. Most fusion fuels are hydrogen isotopes, which are heated and compressed into a plasma state. This process is very difficult – if the plasma degrades or behaves poorly, fusion won’t be able to occur. One […]

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Protein profiling of blood samples of patients with mild traumatic brain injury

Mild traumatic brain injury (mTBI) and sports-related concussion have complex and variable neuronal pathophysiology. Despite extensive attempts for discovery and identification of protein biomarkers in the blood of concussion patients, the success of proteins markers is limited due to the heterogeneity and complexity of concussion. There are still no reliable protein biomarkers that can accurately […]

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Monocular 3D Object Reconstruction in Autonomous Driving

3D object reconstruction is a crucial task for autonomous driving. Many important fields in autonomous driving such as prediction, planning, and motion control generally require a faithful representation of the 3D space around the ego vehicle. Reliable and accurate 3D reconstruction with one RGB video alone in autonomous driving is the goal of this project. […]

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Mitochondrial-targeted therapies to improve Duchenne muscular dystrophy outcomes

Steroid drugs and creatine are treatments for muscle weakness in people with Duchenne muscular dystrophy. Steroid drugs can also cause problems like weakening mitochondria which are the energy producing parts of muscle cells. Duchenne also makes it harder for mitochondria to use creatine for energy. This means that both treatments may not be doing the […]

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Modelling a distributed array EM system

This project is developing new tools to explore for mineral deposits buried in locations where they are difficult to identify using traditional techniques. The tools are based on electronic devices that are relatively inexpensive to produce so that multiple devices can be used and hence the quality of the data will improve. This will make […]

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Implementations of state-of-the-art quantum error-correcting codes and decoders for simulations of fault-tolerant logical operations

Quantum computers encode information with qubits. Unfortunately, qubits are subject to error. Those are physical qubits, and one will need many physical qubits to create an error-free qubit, also called a logical qubit. In this project, the university and industry researchers will work together to understand if the error rate of a logical quantum circuit […]

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An investigation of the Canadian government’s in-year financial tracking operations

The proposed project intends to make an evaluation of the Canadian public sector’s use of technology in budget tracking operations. The purpose is to make a recommendation on a technological “future state” to address the discovered shortcomings and to mitigate future operational failures, as well as evaluating the impact of adopting such innovative technology. The […]

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Valorisation de petits fruits du Québec pour le secteur cosméceutique

L’émergence récente des produits cosméceutiques représentent le segment dont la croissance est la plus rapide au cours des dernières années dans le marché des cosmétiques et des produits de soin personnel. Ces produits ont des applications variées dont l’efficacité repose sur le choix des ingrédients actifs. Les petits fruits du Québec, tel que la camerise […]

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Development of advanced biomass-derived catalysts for the production of formate via electrocatalytic CO2 reduction

The production of formate salts – one of the most preferable chemicals for de-icing via electrocatalytic CO2 reduction is currently a promising technology. Lignocellulosic biomass is a potential material for the manufacture of electrocatalysts because of not only its great abundance and availability but its conversion inducing graphite-based materials, which are excellent catalyst supports. The […]

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