A Ranking Method: The Top Integrated Energy Generation/StorageTechnologies (Building and Community Scales)

Analysis of the best performing technologies will be conducted relative to the areas of buildingintegrated energy generation and storage of such energy at the building/community scale.Relevant product and other technological literature will be collected and various areas of performancewill be used for comparison. Such metrics of performance for generation/harvesting technology willinclude (but may not be […]

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Integration of Low Impact Development stormwater practices into the development of smart community

Development of stormwater management plans in Ontario has focused primarily on sizing of conveyance infrastructure and stormwater management ponds that mitigate the receiving water impacts of new developments. The focus has shifted in recent years towards the implementation of Low Impact Development (LID) that emphasizes the control of stormwater runoff at the source. Although several […]

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Novel Artificial Intelligence (AI) driven wearable device for continuous vital sign monitoring

Wearable medical devices (SWDs) are emerging as powerful patient monitoring and data collections tools. These smart, multiplexed devices allow us to quantify dynamic biological signals in real time through highly sensitive and miniaturized biosensors. SWDs can enable monitoring at risk patients at home, diagnosing early disease progression, and reducing healthcare expenditures by means of prediction […]

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Optimization of a Vertically Mounted Dual Wind Turbine

Energy collected from renewable resources that are naturally replenished on a human timescale is called renewable energy. One of the most reliable sources of renewable energy is the wind energy. Using wind to produce energy has less environmental impacts than other energy sources. In other words, wind turbines do not produce emission that can pollute […]

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Client Success and Integration for onboarding customers

The project will consist of 2 primary goals: to apply the Six Sigma methodology in creating a effective onboarding/integration process for new clients and to utilize the 3Rs (Retention, Related sales, and Referrals) framework as a guide to optimize Glo3D’s customer success strategy. These two goals will practically strengthen our brand image, create a stronger […]

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Software Engineering of LOYALTY APP for NTN CANADA

NTN Canada wants to build a Loyalty Program Mobile App that will be used by their clients to collect and redeem award points based on the NTN products that they sell/purchase. This functionality will be achieved through a client facing mobile application and web-based admin panel for NTN Canada office.

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Arch-App

The intention of the Arch-App is to create a mobile app that utilizes geo-location and augmented reality technologies to access data (including imagery, videos, and text) on building projects throughout the city in real time. The infrastructure of the Arch-App effectively provides users a resources (ranging from historic imagery to notable interviews) and tour guides […]

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Embodied Carbon Study of New Residential Buildings in Southern Ontario

The built environment accounts for over one-third of annual global carbon emissions, with approximately one-quarter resulting from ‘embodied carbon’ that is released during the raw material manufacturing, transportation, construction and end of life phases of built assets. Given the continued growth in new build construction and the critical need to limit climate change, further analysis […]

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Multi-sensor fusion for continuous vitals monitoring, sleep characterization and fall detection

The proposed research project focuses on multi-sensor such as heart rate, body temperature, oxygen saturation level, and inertial sensor data-based sleep stage classification, and tremor detection in real-time for preventive health devices. The goal of the proposed research is to build robust and energy-efficient machine learning and deep learning-based approaches that extract and analyze the […]

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Optimization of Soil Parameters for Deep Excavations by Inverse Analysis

The proposed research aims to optimize soil model parameters through inverse analysis of deep excavations. Soil properties and their engineering behavior are the fundamental uncertainties among the many influential factors involved in deep excavations. Even though geotechnical investigations are usually conducted, the risks are still high due to the limited amount of soil samples extracted […]

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Fabrication of Smart Clothing: From Machine Learning Approach to Fashion Design Concepts

Nowadays, wearable devices attract a lot of attention, especially in the healthcare field. But translating all devices to wearable devices always comes with challenges. Some of the challenges are lack of knowledge about the application of different materials in smart textiles, limitation of developed smart textiles in practical application, no significant dedication in designing clothing […]

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Automated technical knowledge curation using machine learning

With the growth of the Internet, the amount of scientific data and information available to research teams has been increasing exponentially in the past two decades, which results in significant information overload. Approaches for manual knowledge extraction and curation does not scale up in practice. The main objective of the project is to create an […]

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