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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Videns Analytics : Séries temporelles en trésorerie corporative

Videns Analytics aide leurs partenaires à exploiter efficacement leurs données par le développement d’outils informatiques. Ils aident essentiellement leurs partenaires dans la transformation numérique. Grâce à l’expertise de Videns Analytics, les avancées technologiques peuvent être transférées durablement vers des partenaires québécois. Aujourd’hui, la plupart des entreprises, notamment au Québec, utilisent des outils simplistes (p. ex. […]

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Designing for Urban Agriculture in a smart community

This project will develop appropriate strategies for a “Smart Community” of the future with respect to the integration of food growing and processing spaces into the community. This may range from rooftop greenhouses, residential growing sunspaces, community gardens, food producing building components, etc. As well this proposal will investigate how food production will interact with […]

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Développement et automatisation de produits d’une plateforme de gestion pour les solopreneurs et petites entreprises

Softelo est une entreprise de développement de logiciels informatiques. Notre premier logiciel à ce jour se nomme Billmate et c’est sur Billmate que se concentrera le stagaire. Billmate est une application web multifonctions combinant Commerce en ligne, un outil de gestion des relations clients (CRM) et un outil de facturation. Notre outil vient centraliser les […]

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The people-nature nexus: Exploring relational values of sociocultural and biophysical ecosystem services in Indigenous Protected and Conserved Areas

This research will explore the connections between nature and people in Indigenous Protected and Conserved Areas (IPCAs). These values will be articulated by identifying the ecosystem services (i.e. the goods and services provided to people by nature) and determining which of these hold significant cultural values. These values will be compared using a variety of […]

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Portable Wireless Interface for Implantable Medical Devices

The recording of brain activity through neural Implantable Medical Devices (IMDs) has a wide range of applications, such as studying brain patterns for seizure detection or brain stimulation to alleviate motor disorders. Some IMDs communicate with an external interface platform, which offloads the recorded data from, programs, and supplies power to the IMD. However, existing […]

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