Business Growth and Operations Strategic Development – RUNNR Delivery

For RUNNR to be successful when entering new cities across western Canada, RUNNR will need to develop a scalable driver operations strategy to ensure that deliveries are completed within their advertised time frames and guarantee customer satisfaction. Additionally, RUNNR will require developing and understanding the minimum driver threshold to provide adequate service to customers prior […]

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Stagiaire en développement logiciel – Medyx 3.0

Le projet se sépare en deux grandes catégories soit en premier lieu l’analyse, la recommandation & l’amélioration d’un système de suggestions intelligentes et en deuxième lieu l’analyse, la recommandation & l’implémentation des outils de cybersécurité permettant la certification cybersécuritaire Canada.

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Computer Code to Assess the Reliability of Existing RC Structures using Stochastic FE Models Developed Based on Digital Image Processing

The number of structural assessment and evaluation projects in Canada is growing due to the aging of the existing infrastructure and the need for extending the service life of critical structures. Current practice utilizes simplified, rather conservative methods of assessment that do not typically yield optimized decisions regarding the safety condition of the existing structure […]

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Expression of variant SARS-CoV-2 spike proteins for antiviral development

The virus spike receptor has been used to successful generate vaccine candidates for SARS-CoV-2 infections. Furthermore, disruption of the virus interacting with host cells represents a viable options for antiviral development. We will express both the viral spike protein and host ACE2 receptor for development of vaccine and antivirals.

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Reconceptualizing the T?i?ch? Archive

The proposed research seeks to contribute to Indigenous cultural health and resilience by employing a three-phased approach of re-centering, re-animating, and repatriating archived belongings. These three phases involve the rethinking of archival structures in terms of Indigenous categorical systems (re-centering), the organization of collection spaces to promote Indigenous knowledge transmission (re-animating), and the return of […]

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Federated Learning (FL) Interoperability, Access and Latency Optimization on The Edge and Cloud

As the underlying networks transition into 5G and 6G infrastructure, the optimal task performance across different WIoT devices with different energy consumption and computing power require coordination at both the software and hardware levels to maximize accessibility and minimize latency to support emerging applications. The proposed research will explore the various parameter space to determine […]

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Securing an IIoT SaaS platform using blockchain and machine learning methods

Industrial Internet of Things (IIoT) is a scalable platform that integrates devices over the internet and runs different services such as energy and facility management easier than SCADA and similar industrial control systems (ICS). These platforms shall be designed securely and manage devices in a safe environment. However, existing IIoT platforms are not secure by […]

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Potential of solar thermal/PV generation for a district energy system and generating a community building electrical and thermal load profile.

This research investigates means for achieving net zero energy dwellings and neighborhoods through maximizing solar potential of dwelling units, isolated and in assemblages. This study will help the community planner to design an efficient layout to achieve maximum solar fraction. Optimum combine building loads in community will lead to a more energy efficient mechanical and […]

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Projects allocation and advanced scheduling of concurrent construction projects

This project proposes multi-criteria decision-making and mathematical programming (optimization) techniques to design an integrated decision-making tool to assist organizations in managing this complex process and achieving more efficiency. For the first problem, allocating project managers, we develop a multi-criteria decision-making method that will offer the possibility to optimize the usage of PMs’ time considering the […]

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