Development of a virtual active learning environment: Making use of digital knowledge objects, data visualizations, and smart assessments to engage students in collaborative deeper learning in online teaching contexts

This project will be focus on developing a digital learning platform that is: grounded in the science of learning research; informed by established pedagogical approaches for supporting collaborative learning; responsive to principles of equity and inclusion; and based on principles of effective assessment to provide high-quality online and hybrid delivery modes of distance learning education […]

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Feature Search using Automatic Machine Learning

This research project focuses on developing an automated system to search and analyze time-series tabular features in the financial institution’s machine learning pipeline. The goal is to identify relevant features and improve efficiency in the decision-making process. The project will begin by prototyping a system to support automated feature search patterns and researching feature search […]

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The development of predictive capabilities in terms of pH and solubility for complex mixtures of organic acids and organic acid salts

This project will require a combination of theoretical and empirical modeling based on extensive experimentation to develop a predictable solubility model in organic acids and salts mixture systems. The successful completion of the project will allow the company to predict capability of the complex mixtures during products development. It can be used by formulators & […]

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Real-time DNS tunneling detection using Machine Learning & Deep Learning techniques

Domain Name System (DNS) tunneling is a malicious technique that enables attackers to bypass network security measures and steal sensitive information. Traditional detection methods that rely on signature-based approaches are often ineffective against advanced attacks. In light of this, recent years have seen a growing interest in the use of deep learning techniques for network […]

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DNS tunneling detection method based on ML & DL models

Domain Name System (DNS) tunnels as a covert communication channel between a controlled host and a master server can be utilized by malicious attackers disguising the master server as an authoritative domain name server. DNS tunneling can cause significant harm due to its ability to easily evade network security mechanisms by using DNS traffic, so […]

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Security enhancement of free-space quantum key distribution system

Satellites have become a crucial part of everyday life. We use satellites for watching television, navigation, weather predication, national defense, and everything in between. Therefore, the safety and security of our satellites is very important. However, there are two problems that put satellites at risk of cyberattack: 1. As computers become more advanced, old cryptographic […]

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Adapting Not-for-Profit Arts Publishing to the Post-Digital Paradigm

PUBLIC (est. 1988) is a not-for-profit print periodical exploring the intersection of art, design, technology, and culture. This research project advances that history by looking at the future of print culture as today’s artists are increasingly making and exhibiting work in online spaces. How can PUBLIC promote engaging and accessible conversations around artists working exclusively […]

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Paul Yang — AI/ML Data Analysis of Fashion Consumer Trends in Social Media: An Impact Report for Canadian Businesses

The project, “AI/ML Data Analysis of Fashion Consumer Trends in Social Media: An Impact Report for Canadian Businesses,” aims to analyze fashion consumer trends on social media platforms and produce an impactful report for Canadian businesses. The intern will employ and develop advanced data analysis techniques to collect and process data from various social media […]

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Brett McGonigal – Studying Advanced Manufacturing Strategies for Autoinjectors

The intern will participate in an interdisciplinary project on advanced manufacturing strategies for autoinjectors, which have become increasingly popular due to their convenience and reliability in administering medications. While the Epipen is a well-known example, other medications, such as Noxalone, use this delivery system. The scale and extent of autoinjector manufacturing in Canada are unclear, […]

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Sales Process for medical technology

Foqus has built a software solution that can speed up MRI scans and is applying for regulatory clearance to commercialize the software. This project focuses on the sales process of the product and facilitates taking the software to the market.

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