L2M – Steel Catenary Riser Tracking

This project aims to develop an AI-enhanced autonomous underwater vehicle (AUV) system designed to track Steel Catenary Risers (SCRs) in real time. Accurate tracking of SCRs is critical for maintaining the integrity of subsea infrastructure in the offshore oil and gas industry. The AUV will leverage advanced computer vision and machine learning techniques to continuously […]

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L2M – An Adaptive Instructional System for Simulator-Based Ice Management Training

Our project addresses a critical gap in maritime training, specifically the challenge of developing effective ice management skills in extreme environments. Traditional training methods rely heavily on human instructors, whose expertise is both scarce and costly, limiting the scalability and consistency of training programs. This issue is especially significant in industries like oil and gas, […]

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L2M – AquaFishSense

AquaFishSense addresses the pressing issue of outdated and insufficient information available to fisheries, which impedes their ability to operate sustainably and efficiently. Fisheries face significant challenges due to the lack of real-time data on fish populations and aquatic habitats. This gap in information leads to overexploitation of marine resources, with approximately 34% of global fish […]

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L2M – An adaptive communication module for real-time network switching between satellite and cellular or radio to optimize connectivity for autonomous maritime vessels (MASS).

The project aims to create a mountable communication system, for Maritime Autonomous Surface Ships(MASS) that enables them to switch between satellite and cellular networks like LTE and 5G depending on signal strength automatically. This innovation ensures communication for the smooth and secure operation of unmanned ships. By investigating market requirements and strategic plans this initiative […]

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Enhancing Ethical AI Engagement: Revising Public Consultation Frameworks and Annual Review Processes for Responsible AI Practices

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 […]

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Improving health and healthcare for adults with neurodevelopmental disabilities

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, […]

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Design Journey Dashboard: A Web Tool to Support Teaching Design Thinking

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 […]

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Hyper Hippo Vector Art Asset Tool

Existing AI image tools are set up to work primarily with images in a pixel-based format (e.g. with a jpeg, png, or gif file representation). However, most games make use of vector art. The important unique aspect of vector art is that it can scale up or down as needed without a loss of resolution, […]

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Intelligent Revenue Management: Automated Insights for the Transportation Industry with applied machine learning.

Business Case / Problem: The travel industry is increasingly competitive, requiring innovative approaches to pricing, distribution, and strategic planning. This business case proposes an development of a machine learning (ML), or equivalent module to specifically analyze two types of telemetry data: pricing, booking across multiple distribution channels. By leveraging this data, the module will provide […]

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Student Exploration Advancement: Comprehensive Design and Development of Data-Integrated Learning Pathways to Facilitate Personalized Navigation and Enhance Career Exploration for Student Success

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 […]

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