A Window into the Mind at a Price You Can Afford: Developing an Online and Offline Pupil-Size Analysis Plug-in

We will harness the power of Mirametrix eye-tracking technology to offer a viable means of probing internal mental processes that were previously intractable without more expensive or invasive techniques. Through the innovative application of popular statistical methods and state-of-the-art machine learning techniques, we will produce a software plug-in capable of online and offline pupil size […]

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Development of recommender system based on user and item data

With this project, we aim to increase our knowledge and experience in recommender systems. We are specifically interested in testing various data structures and algorithms that will allow us to provide recommendations to our users based on their interest (user-user), as well as the intrinsic similarities between different elements of our database (item-item). Based on […]

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Chitosan-Based Nanofragrance for Sustained Scent Release

An ideal fragrance carrier system should not only be safe but also allow for a prolonged release of fragrances over time without affecting the overall performance of the perfume. However, very little progress has been made to improve the formulation of perfumes despite the size and high social status associated with the market. My project […]

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Trichome Stalk Length and Bulb Discolouration as Factors of Cannabis sativa Maturity

Cannabinoids and terpenes that make the chemical composition of cannabis material are found in the metabolic factories, glandular trichomes. The trichomes are stalk like protrusions with a bulb at the end that functions to hold the synthesized compounds. The project is to analyze trichomes visually to determine if bulb colour changing and stalk extensions are […]

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Novel Barcoded DNA-Polymer Hybrids on Magnetic Nanoparticles for the Selection of de novo Exosome Aptamers

The biological role of exosomes in cancer development renders them potential biomarkers for early cancer diagnostics. Current exosome extraction methods yield impure samples and are composed of relatively harsh conditions that cause exosome denaturation. Exosomes related clinical applications and research require tools to isolate exosomes from biological samples in its native form with high purities. […]

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Geometry recognition from computer-aided design drawing files

Currently, the service provided by Axya links manufacturers and buyers of manufactured goods. To find a perfect match between a manufacturer and a buyer, the files they share need to be analyzed. CAD engineering drawings represent most of the files shared. However, manual analysis of large amounts of engineering drawings is too time-consuming while requiring […]

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Impact of bioactive peptides derived from collagen hydrolysate on osteoclastogenesis and osteoclast signalling

Genacol Canada Corporation Inc. manufactures a collagen hydrolysate (CH) supplement sourced from bovine (Genacol® Original Formula) that has shown positive results and potent efficacy in three clinical trials for reducing joint pain. Following digestion and absorption, CHs release amino acids and peptides that can lead to the health-promoting properties of the supplement. Recent studies suggest […]

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Autonomous and assistive algorithms for log-loading operations on Crane test-bed

Timber-harvesting is an important industry to Canada. At this time, the industry is predicting serious labour shortages over the coming decade. Because of this, the industry is looking to robotics and AI technologies to increase the level of autonomy of timber-harvesting machines, as well as, to make the operations more safe and environment friendly. In […]

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A Large-Scale Multi-Dimensional Analysis of Developer Information Needs

Building software systems is a complex task. Teams of developers must gather and exchange large quantities of technical and conceptual information to build reliable systems. This transfer of knowledge is mainly supported by tangible documents that contain information deemed important for different contexts. However, determining what information is important is itself challenging. The importance should […]

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A Viable Scalable Electrochemical System for Highly Selective CO2 Electroreduction to Formate at High Current Densities

Reducing greenhouse gas emissions, particularly carbon dioxide, is a major scientific concern to tackle climate change. One promising method is to convert CO2 into fuels via electrochemical CO2 reduction (ECR). Nonetheless, several challenges remain before this technology can be scaled up and commercialized, including achieving a high selectivity, current density (i.e., reaction rate), and long-term […]

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