Face masks play an important role in preventing droplets and filtrating exhalations coming from infected subjects or against various threats in the wearer’s surroundings. Approximately 129 billion single-use masks were discarded per month worldwide during the pandemic. The inadequate handling and management of single-use face masks cause many environmental problems. In contrast to disposable masks, […]

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This research project in Canada focuses on sustainable natural resource management, particularly in forest areas. By integrating Remotely Piloted Aircraft Systems (RPAS) and Computer Vision (CV), the project aims to improve forest fire prevention and management. Collaborating with industry partners like Spexi Geospatial, the team combines academic research with practical solutions to enhance AI-driven environmental […]

This project explores the post-pandemic impact of the rise of convenience on consumer eating habits. As convenience becomes a major driver of the food industry, our research examines how this emphasis can obscure essential elements such as ritual, culture, social connections, impacting the perception and pleasure of eating. Our research questions target the influence of […]

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With the development of imaging technology and research progress on wildlife monitoring, camera trapping becomes one of the best ways to record the presence and activity of mammals in a given area. The approach to monitoring wildlife can assist people in the community with decision making about preserving biodiversity. Camera trapping generates a huge volume […]

Hepatitis A virus (HAV) is responsible for most diagnosed human hepatitis infections. HAV spreads via the fecaloral route, either through person-to-person contact or via contaminated water and foods. PCR serves as the gold standard for detecting enteric viruses, but has limitations that have hindered the application in resourcelimited environments. A novel molecular detection assay based […]

PCB stator motors are an emerging research area with cost and efficiency benefits compared to traditional motors. PCB stator motors with integrated variable frequency drives have the potential for significant power density improvements if Galium Nitride (GaN) power semiconductors are used in the drive. In this project, emerging high voltage GaN semiconductors will be used […]

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This project aims to enable Duesytech Online to provide services to match a customer’s technology service needs with the technologist or technician (tech) who is best equipped to provide that service. This matching is achieved through Machine Learning (ML) algorithms that are applied to find the best match given all the criteria set by the […]

Modern deep neural networks have demonstrated remarkable performance across various visual recognition tasks, including image classification and semantic segmentation. The effectiveness of these networks largely relies on having abundant labeled examples for each desired category. Acquiring such datasets, however, poses particular challenges in the context of semantic segmentation, where a label is required for each […]

This internship aims to implement an advanced system for automatic keyword extraction from textual web contents. Keyword extraction not only provides a concise and salient representation of a document, but also can be used in web-based applications such as efficient indexing, intelligent tag recommendation, and contextual advertising. In this research project, a hybrid keyword extraction […]