Community Based Participatory Research Strategies for Combining Creativity with Sustainability in the Arts and Beyond

The proposed Creativity and Sustainability post-doctoral fellowship will be situated at Mass Culture (MC), and executed in cooperation with University of Toronto Scarborough’s (UTSC) Urban Just Transitions (UJT). Over the years, MC and the scholars involved in UJT have experimented with various forms of community-engaged methods in order to generate impactful research that will inform […]

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Solar-driven H2 production by photovoltaic-electrochemical water splitting

Presently, it is significant to reduce CO2 emission and other greenhouse gas emissions. One of the major CO2 emission contributors is transportation sector. To reduce emissions and achieve a zero-emission society, the use of H2 as a fuel in ground, air, and marine transportation, a feedstock in petrochemical industry, and an energy carrier for energy […]

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Automatic Optical Character Recognition Preprocessing for Custom Gameplay Text

Computer Games are one of the key use cases of graphics cards of AMD. To ensure highest quality and performance, extensive testing of graphics hardware and software is required. However, much of this gameplay testing is manual and requires significant efforts due to varying styles in games and their versions. In this context, an open […]

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Inspection of Bridges in Ontario for Damage Detection and Rehabilitation

This Mitacs project will undertake bridge inspections of 33 road bridges in Ontario to determine locations and level of damages in these bridges and suggest appropriate rehabilitation techniques to keep these bridges in service. The data collected will be added to the current pool of similar data already collected by the industry partner, MEDA to […]

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Blockchain-based federated learning for Agri-food supply chain

This project utilizes blockchain technology, smart contracts, and federated learning techniques to enhance collaboration between multiple parties for the agri-food supply chain application. It aims to promote data trust between multiple stakeholders in the supply chain by adopting blockchain technology and federated learning techniques. Multiple parties can keep their data at their local data storage, […]

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Analysis of Canadian Western Red Spring Wheat Using Near Infrared Spectroscopy

The proposed research will develop a reliable analytical method for the quantitative analysis of grain grading factors for Canadian Western Red Spring wheat using near infrared spectroscopy (NIRS). Most commercially available near infrared spectrometers used in agricultural applications require significant expertise, a large footprint, a controlled environment, and are prohibitively expensive. The NIRS technology is […]

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Robot control using artificial intelligence for high diversity and low volume production sites

NeuroBotIA aims at tackling problematics of manufacturing SME such as the shortage of qualified workers. Currently, Canada is facing a labor shortage of 39% which will increase overtime due to younger generation interest in professional job and population growth decrease. Therefore, NeuroBotIA will develop technology to alleviate labor shortage using intelligent robots. This project aims […]

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Accelerating the Healthcare Leader’s Career Pathways: Determining pathways of leadership, and developing and testing a mobile app prototype

These are challenging times for healthcare leaders. Since the pandemic, it has become abundantly clear that healthcare is at a tipping point. With burnout, retirements, and resignations, healthcare leadership positions are now more available than ever. CHLNet and LEADs Change have studied leadership during COVID-19 and have highlighted the demands on leadership and the need […]

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Effect of far infrared reflecting clothing on sleep physiology and sleep-dependent memory consolidation in healthy adults

Sleep is crucial for the formation of novel memories, and it underpins much of our psychological well-being. Unfortunately, millions of Canadians suffer from sleep difficulties, which are especially prevalent among women and populations with low education and income. These difficulties result in poorer cognitive performance and reduced well-being. Finding solutions to these difficulties is often […]

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AI-based Model Predictive Control for Energy Management in Smart Buildings using Wireless Sensor Networks

The purpose of this project is to make use of the AI algorithms to enhance the energy consumption related to indoor heating ventilation and air conditioning (HVAC). The project involves collecting data using wireless sensors network, developing thermal dynamic model of a building, and developing Model predictive control (MPC) solver that reduced the energy consumption. […]

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Structural testing of Basalt Fibre Reinforced Precast Concete Sandwich Panels

A new load-bearing precast concrete wall panel system has been proposed that uses composite materials instead of steel for reinforcement to reduce the level of heat loss through them and increase their R-Value. The panels will undergo destructive structural testing to determine how well the composite material system compares to a similar wall design that […]

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Detours: Location intelligence for Inclusive mobility in disruptive sidewalk conditions

Temporary disruptions in the pedestrian environment, such as construction or snow, make it difficult for people with disabilities (PWDs) to reach destinations in their community. Cities struggle to communicate alternate routes that are accessible to everyone when these disruptions occur. Grounded in a context of data valorization and transfer for the development of smart and […]

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