Quality Vigilance of Baked Goods through DigitalImage Analysis – I, II

Product quality is a factor in insuring business success and user satisfaction. It is acheived through vigilance within quality systems. This project will explore how quality-by-design can be supported through serial recording of material signatures extracted from image analysis of baked goods produced by the industrial partner TWI Foods. An innovative digital image recording system […]

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Toronto Common Data Model

City of Toronto’s Digital Infrastructure Strategic Framework (DISF) has a vision of “A Digital Connected Community” where digital infrastructure is increasingly used to deliver services, perform data-driven asset management, help manage public resources efficiently, encourage civic engagement, and inform decision-making. A critical component of the DISF is the ability to share data across services and […]

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High-Value Fertilizer Synthesis from Carbon Dioxide

The extensive use of fossil fuels is responsible for emitting the main culprit of climate change — carbon dioxide (CO2). As electricity generated from renewables becomes more accessible, CO2 conversion into valuable chemicals using electricity is being actively explored as an economically viable solution for mitigating climate change. Nitrogen-containing fertilizers support almost half of the […]

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Prediction of NOx formation by a DC Plasma Torch

Industries using fossil fuels as their energy source contribute to global warming as the required energy for their processes is supplied by combusting fossil fuels. CO2, a greenhouse gas, is a product of combustion. Using electricity generated by hydropower as the heat source may eliminate CO2 emissions. One of the commercially available electric heaters is […]

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Defocus and Aberration Modeling for RGBInfrared Cameras

Conventional camera sensors record three color channels: red, green and blue. In this project we will investigate computational photography algorithms for cameras that record a near-infrared channel (NIR) in addition to RGB. This channel is particularly useful for biometric imaging and holds great potential in consumer imaging applications as well. The key challenge in simultaneously […]

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Line of Business Explainability

Current planning/business analytics platforms automate time-consuming manual budgeting, forecasting, and reporting processes to help business users (e.g., financial officer, human resources, merchandising, marketing, or sales) make business decisions. Moreover, end users often use the interactive “what-if” analyses to understand the data from different perspectives and gain insights. However, the current way of presenting the analysis […]

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Applications of Tensor Neural Networks to pricing early-exercise options

An early-exercise option is a financial agreement which grants one party the right, but not the obligation, to buy or sell an underlying asset at a pre-agreed price at a series of pre-determined times. The problem of pricing an option is of great practical importance and is typically addressed using computationally expensive numerical simulation methods. […]

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Building more housing with less embodied greenhouse gas

This research has two goals to a) increase our understanding of the quantity of construction materials and embodied GHG used, in current practice, to create new housing in the City of Toronto and b) to identify opportunities to use changes in building and neighbourhood form to create more housing with less total embodied GHG. The […]

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Development and manufacturing of functionalized oxime crosslinked hyaluronan hydrogel for sustained drug release to treat retinal degeneration

Retinal degeneration disorders are among the leading causes of blindness in the developed world. Several therapies hold promise, however widespread application is hindered due to difficulty in delivering active drug to the retina. Synakis is a company that has developed a biomaterial that can be injected into the eye to aid in retinal surgeries. This […]

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Developing chemical probes for inhibition and targeted degradation of the deubiquitinase USP9X in breast cancer

Cells have developed an intricate system called ubiquitination to control the quantity of certain proteins. As this is frequently hijacked in various cancers, the Structural Genomics Consortium (SGC) intends to inhibit components of ubiquitination with small molecules for therapeutic benefit. Partnership of the SGC with the cell biology expertise of Barsyte-Lovejoy group will allow for […]

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Targeting classically intractable molecules with Quantum Computing

With the advent of quantum computing, finding applications for which quantum computers offer an advantage with respect to classical computers is crucial if this technology is to be fruitful. One of the areas where quantum computers are expected to be particularly useful is for the simulation of molecular systems, with applications in drug discovery, materials […]

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