Climate Crisis, Adaptation and Forest Livelihoods in the Most Vulnerable Regions: a Case Study from the Indian Sundarbans

Climate-focused livelihood adaptation driven by donor-funded technocratic development projects has emerged as an instrumental strategy for addressing vulnerabilities of communities in the Global South. However, critical calls are rising for a more nuanced understanding of climate victims’ local realities (which often contrast significantly from national political agendas and climate crisis narratives), socio-spatial dynamics of vulnerability […]

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Advance Machine Learning for Medical Survival Analysis

In this Mitacs Cluster project, we aim to investigate and improve performance of deep survival models developed by Ortho Biomed Inc., our industrial collaborator. The main objective is to predict clinical outcomes, such as time of death, and the time of organ failure before and after surgery, more accurately and more efficiently. Architecturally, Ortho Biomed […]

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Improving performance of recycled asphalt applications with bitumen and asphaltenes mix

New innovative technology is proposed for Recycled Asphalt Shingles (RAS) to produce cold mix asphalt (CMA) for dust control in unpaved roads. This novel method will design a mix of bitumen/RAS/water emulsions that break in a controlled manner upon field application. The effect of asphaltenes, petroleum solvents, emulsifier type, concentration and properties, and the preparation […]

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Determinants of Effective Social Engagement to Increase Utilization of SWIM, a Water Data Collaboration Platform

Our project will determine needs and barriers to use of a water data collaboration platform use by diverse stakeholders, which include watershed groups (Indigenous communities, sub-basin organizations, science classes, citizen science coalitions), industry stakeholders (irrigation districts, reservoir operators) and potentially government agencies charged with creating and implementing water management policy. To understand barriers to platform […]

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Integrate Goodness Capabilities into Microsoft Teams

Benevity is a global leader in workplace giving and volunteering solutions. Benevity’s flagship product “Spark” is a software-as-a-service (SaaS) application which allows users to access a catalog of “goodness content”, which consists of giving and volunteering opportunities associated with registered charitable organizations. One of the ongoing challenges Benevity faces, as do many content platforms, is […]

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Goodness Kiosk

Benevity is a global leader in workplace giving and volunteering solutions. Benevity’s flagship product “Spark” is a software-as-a-service (SaaS) application which allows users to engage in their company’s donation and volunteering programs through a web or mobile application. It is common for our clients to run events or campaigns where they would like to collect […]

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Technical and financial feasibility of employing cutting-edge solar technologies and design strategies in the retrofit of large commercial buildings

The proposed project aims at exploring the technical and financial feasibility of employing cutting-edge solar technologies and design strategies in the retrofit of large commercial buildings, and application to a case study in Schefferville. The research consists of two main design 1) incorporating commonly existing PV panels into Rainscreen cladding, to act as the outer […]

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Accurate 2D to 3D overlay

The project will investigate image-based 3D reconstruction to infer the 3D geometry and structure of human body and scenes from multiple 2D images. Effective solutions typically require multiple images, captured using accurately calibrated cameras. Stereo-based technique – Multiple View Geometry, for example, require matching features across images captured from slightly different viewing angles, and then […]

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A Distributed Learning and Automation System for Passive Solar Greenhouses

The proposed research focuses on optimizing the partner organization’s innovative passive solar greenhouses. We propose a distributed learning and automation system (DLAS) that collects sensing data from multiple greenhouses. The DLS learns an optimal predictive model by aggregating the local models from multiple edge devices. The DLAS keeps improving the model as more sensing data […]

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Review of Carbon Capture, Utilization and Sequestration Options for Natural Gas-Fired Power Generation

Carbon Capture, Utilization, and Sequestration (CCUS) is the removal of carbon dioxide (CO2) from large-scale emissions point sources of fossil-fueled power industrial facilities, including electrical power generation plants, for compression, transportation, utilization, or permanent underground storage. This research project titled ”Review of CCUS Options for Natural Gas-Fired Power Generation” will examine CCUS with a focus […]

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An Economic and Policy Assessment for a more Sustainable Electricity Grid in Alberta

This project will investigate the impact of the suspension of the distribution connected generators credit by the Alberta Utilities Commission in July 2021 on the economics of utility scale renewable energy projects in Alberta, and how their economics compare to transmission connected projects. A cost benifit analysis will then be preformed. Based on the results […]

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