Development of instruments and methods engineered to mitigate the impact of non-tissue specific background sources for intraoperative spontaneous Raman spectroscopy applications

The interns will develop novel technologies using laser light to interrogate molecular vibrations in biological tissue setting up the stage for the next generation of intraoperative imaging techniques used to guide surgical interventions, including the resection of tumours in prostate and ovarian surgery as well as in neurosurgery. The partner organisation (Optech) is an organisation […]

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Privacy Preserving Federated Learning – Year two

By virtualizing all the various appliances in the network, Network Function Virtualization (NFV) became a key enabler for the coming 5G infrastructure and nowadays a major shift is under way bringing an evolution to cloud-native NFV. In the latter operational model, applications are decomposed into microservices running inside containers to enable automated installation, configuration and […]

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Techno economic assessment of state-of-art innovative fast pyrolysis solutions in bio-economy processes

The present project will evaluate the techno-economic and environmental performance of an Integrated Biorefinery System that employs an innovative state-of-art fast pyrolysis processes for the production of bio renewable fuels in the bio-economy. A systematic design methodology will be defined using state-of-the-art process systems engineering tools which include market analysis, techno-economic assessment, cost accounting, energy […]

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Extractable polysaccharides from sugar maple bark

This project aim to valorize sugar maple bark that is normally generated as residues in high volume from forest-based industry in Canada. Sugar maple bark, which is rich in polysaccharides will be extracted and subsequently dried to produce polysaccharide powder. Such obtained powder will be explored for its potential as functional food ingredients, mainly in […]

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Image-based Feature Engineering in Age Related Macular Degeneration (AMD): bridging the biology of ophthalmic imaging with advanced computer analytics for enhanced clinical trial design and personalized medicine in blinding eye disease.

This project allows a PDF to take on a “feature engineer” role in which she will work closely with a biomedical engineer to identify novel features based on Tracery’s proprietary imaging method for Age-related Macular Degeneration (AMD). The PDF will serve as a vital link between clinical disease and computing, interacting with both academic and […]

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Development of a new compact configuration for enzyme-mediated carbon dioxide desorption unit based on detailed study of desorption kinetic mechanism and local-scale mass-transfer phenomena

The CO2 thermal desorption process in the stripper for the regeneration of solvents is central to the design of CO2 capture process from technical and operational standpoints, requiring huge amounts of energy and posing considerable challenges on plant operation. In order to offer an alternative environmentally-friendly and economical stripping unit, the present project aims to […]

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Neutral and alkaline bio-heap oxidation of refractory gold ores with adaptive moderate-thermophilic and mesophilic microorganisms

The project has been defined to address the growing concerns of the mining industry towards sustainable copper production with low cost and environmentally friendly process option. The current processes for copper extraction are either expensive or have detrimental impact on the environment. This proposed project pertains to the development of a technology that applied green […]

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An information-theoretic framework for understanding generalization in neural networks

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. DNNs are themselves general function approximations, which is the reason they can be applied to almost any machine learning problem. Their applications can be found in visual object recognition in computer vision, translating texts in unsupervised learning, […]

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Physiotherapy balls with pressure sensor

Today, physiotherapy balls or physioballs play an essential role in treating disability or body damages such as neck, waist, knee and so on. Despite their wide range of applications and importance, it is difficult to monitor the damaged member and propose continuous treatment in the presence of a physiotherapist or physician. This causes several problems […]

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Security protocols for cloud-based noisy intermediate-scale quantum computers (NISQ): development and implementation.

AgnostiQ Labs is looking to develop immediately applicable encryption/obfuscation techniques for quantum computing. At present, encryption protocols developed in academia are unsuitable for real-world applications because they largely depend on quantum hardware that do not yet exist. Research into encryption techniques that will be useful on today’s (primarily cloud-based) quantum hardware will allow AgnostiQ Labs […]

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The making of a woman feature filmmaker: Gender and cultural production in a Montreal-based film school – Year two

In Canada, women have made significant inroads in television, web series, documentaries, and experimental films. But few women directors and screenwriters participate in big-budget feature film production. This study explores the marginalization of women in the feature film industry through the lens of film production training. As previous studies have shown, film education can shape […]

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