Proofs of Quantum Knowledge: Theory and Applications

A quantum proof of knowledge (QPoK) is a protocol in quantum computing that allows one party (the prover) to convince another party (the verifier) that they possess certain knowledge without revealing the knowledge itself. Our research proposal aims to advance the science of QPoKs by developing both theoretical foundations and practical applications. We will explore […]

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Programmable Transport in Hardware

As network speeds reach hundreds of gigabits per second and beyond, there is increasing interest in using programmable Network Interface Cards (NICs) to improve network performance. A key area of focus is accelerating transport protocols, which significantly impact network performance. Transport protocols are continuously re-designed and updated, especially in large-scale networks, to optimize network performance. […]

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Exploring the automation of animal health surveillance through natural language processing: A comparative analysis of supervised and unsupervised approaches for canine gastroenteritis

Canine gastroenteritis is a syndrome characterized by inflammation of the stomach and intestines, resulting in acute onset diarrhea, vomiting, and anorexia. As no prophylactic treatment exists, veterinary health preparedness based on surveillance is a key preventive strategy. We propose a comparative empirical study applying various language modeling approaches to identify gastroenteritis outbreaks in UK dogs […]

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Development and validation of an algorithm forsegmentation of the cochlea from medical images

A cochlear implant (CI) is a complex electronic device designed to provide the sensation of sound to profoundly deaf or severely hard-of-hearing individuals. Imaging of the implanted CI electrode would assist manufacturers in verifying the efficacy of their designs and would also provide important information to clinics for programming CIs post-surgery. However, the size and […]

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Enhancing Food Safety and Quality: Implementing Advanced Machine Learning and Data Analytics to Develop Predictive Models for Best-Before Dates

Griffith Foods, a recognized leader in food science and innovation with a rich history in enhancing food safety and quality, is focusing on the project “Enhancing Food Safety and Quality: Implementing Advanced Machine Learning and Data Analytics to Develop Predictive Models for Best-Before Dates” in Canada. This initiative aims to improve the accuracy of best-before […]

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Evaluation of thermal models for a greenhouse system

AgriTech North is a social enterprise Beneficial-Corp (B-Corp) producing fresh produce year-round, contributing to the resolution of food insecurity throughout Northwest Ontario. They are focused on local production with limited transportation requirements, a longer shelf life, and lower carbon footprint. AgriTech is engaged in the development of new vertical greenhouse technology to enable sustainable operation […]

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Integrating AI and Control Features into Web and Mobile Applications for Enhanced Workflow Management in Educational Consultancy

In partnership with WIMTACH-CEDA, this research project investigates strategic enhancements to Dhiyati Inc.’s digital platform, aimed at advancing workforce readiness and bridging the skills gap for Canadian students. Focused on optimizing user engagement and data flow, this project explores the integration of advanced semi-associate admin features, group management tools, and seamless communication integrations, including Google […]

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Design and Development of a Customized Analytics-enabled Payroll Management System for Small Businesses

Seyon Tax, a Toronto-based tax and accounting firm, specializes in comprehensive financial services for individuals and businesses. Among its key services, Seyon Tax provides payroll management solutions for small businesses that require streamlined, compliant payroll processing. However, the firm faces challenges with its manual, fragmented payroll processes, leading to inefficiencies, potential errors, and increased operational […]

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Nitrous oxide emissions monitoring and remediation approaches during wastewater treatment using partial denitrification anammox process

Wastewater treatment plants contribute to greenhouse gas emissions through the release of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), which are produced during various treatment processes. During biological nutrient removal in wastewater treatment, processes such as activated sludge can generate N2O (a potent greenhouse gas) during total nitrogen removal. Further energy consumption in […]

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Planning paired-watershed scale biomass boiler ash utilization trials to support bioenergy waste diversion, forest regeneration, and aquatic ecosystem health

Wood ash is the residual from biomass boilers at forest products mills and stand alone energy facilities. In Canada, residual ash is often landfilled, which can be costly and pose environmental risks. However, considering that the components of the ash are derived primarily from soils and trees, and there is increasing interest to return wood […]

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