This project aims to enhance TELUS’s Responsible AI (RAI) survey, which is designed to gather public insights on key AI ethics principles like fairness, privacy, and transparency. The goal is twofold: (1) to update the RAI survey so that it better captures the evolving values and concerns of Canadians regarding AI technologies, and (2) to […]

Marketing Kitchen Inc. is developing a comprehensive Project Management Console to streamline workflows, improve communication across departments, and enhance client interactions through automation and real-time project tracking.

CAMH is Canada’s largest mental health hospital and is also one of the world’s leading research centres in the field of mental health. The organization conducts groundbreaking research, provides training to health care professionals and scientists, develops health promotion and prevention strategies, and advocates for public policy change. More specifically, the Azrieli Adult Neurodevelopmental Centre, […]

Design skills are increasingly recognized as a core competency for software professionals. Unfortunately, these skills are difficult to teach because design requires freedom and open-ended thinking, but new designers require a structured process to keep them from being overwhelmed by possibilities. Students need clearly communicated expectations and an easy way of tracking responsibilities to keep […]

The “Student Exploration Advancements” project aims to enhance the student experience on Xello, a popular platform that helps students explore careers and plan their educational paths. By improving features like student feed content, career and school exploration, and data-driven insights, the project will make it easier and more engaging for students to discover relevant information […]

This collaborative research initiative between Academy of Learning (AOL)—a prominent Canadian Private Career College offering diploma and certificate programs in healthcare, business, and technology—and WIMTACH-CEDA aims to address AOL’s operational inefficiencies related to data management and decision-making. Currently, AOL’s reliance on disconnected third-party systems for critical functions like student registration, admissions, financial reporting, and compliance […]

Receptor proteins are important for therapeutics, medicines, diagnostics and biomanufacturing. Generating new proteins is incredibly difficult however machine learning techniques have been developed to assist in evolving proteins. Using these techniques, I plan to create receptor mimics that are smaller and have improved properties. These will benefit many industries such as therapeutics, medicines, diagnostics and […]

In (VR, we can’t see our bodies due to replacing the real world with a virtual one. This leads to disembodiment, which has been shown to impact performance. An avatar, a digital body, can create that embodiment. The proposed research aims to combine the topic of the intern’s master’s thesis, “Investigating Graphical Realism in Mixed […]

The main goal of this research endeavor is the development of a hybrid cloud infrastructure that incorporates quantum computing techniques into its design in order to increase the security, scalability, and level of usability of existing cloud computing systems. This specifically means integrating the more sophisticated aspects of quantum computing, such as quantum cryptography and […]

Robotic technology is starting to leave enclosed industrial spaces and research labs and enter human society and communities. However, the impact of robots on humans is not well understood, and this lack of understanding limits the safety and effectiveness of their deployment. The primary objective of this research project is to investigate the emotional and […]

This project aims to enhance responsible AI in dynamic environments by leveraging data drift detection and model adaptation techniques. By collaborating with IFS Canada, this project seeks to synergize academic exploration with real-world application, creating a dynamic partnership that bridges the gap between theoretical advancements and practical solutions. This project, focused on developing reliable AI […]

The project will enable contactless measurement of blood glucose using remote Photoplethysmography (rPPG) technology using patients’ face or finger videos which is a comparatively new artefact. There is a lack of training data and the blood volume pulse (BVP) signal extracted from the videos suffer from a lot of noise resulting in poor measurement accuracy. […]