Documenting Indigenous Ecological Knowledge to examine Atikameg (lake whitefish) and Namegosag (lake trout) interactions in Saukiing Anishinaabekiing

“Etuaptmumk (Two-Eyed Seeing)” is a framework for bringing together different worldviews in search of mutual benefit. In partnership with the Saugeen Ojibway Nation (SON), this project is using an Etuaptmumk (Two-Eyed Seeing) approach to bridge Indigenous Ecological Knowledge (IEK) and Western science to inform locally relevant fisheries governance on Lake Huron. Using both knowledge systems, […]

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Ownership of Content in an Overlay Platform

The notion of ownership is fundamental and essential in a number of settings, including the setting that is the focus of this proposal: information over the Internet. Ownership of some content, in turn, endows the owner with certain rights over the content. The intent of this proposed research project is to (a) precisely enunciate what […]

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Fault Diagnosis for Gas Turbine Engine Systems Using Model-Based Techniques

The ability to find fault in engine systems and proactively monitor their progression to remedy the root-cause before it fails is of paramount importance in today’s industry safety. An effecting change in current engine monitoring methods will require insight and understanding of the level of robustness and engineering rigour required to maintain safety and airworthiness […]

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Star Salvager: A Remote Games User Research Toolkit for Small Teams

As Games User Research (GUR) becomes a mature and essential pillar of game development, the challenges of performing rigorous qualitative and quantitative research in small teams are exacerbated by the disruption caused by the 2020 COVID-19 pandemic. Research methods such as heuristic evaluation, think-aloud usability testing, initial experience testing, playthrough observation, and post-launch data analysis […]

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Development of a Sustainable Program Quality Improvement Framework using a Balanced Scorecard Methodology at Family Services Ottawa

FSO (Family Services Ottawa) is a not-for-profit social service agency whose mission is to assist individuals, to build on their strengths and to improve their mental health. FSO does so by providing counselling, education, and advocacy within a context of working to foster systemic change. Although their programs are increasingly monitored and evaluated at the […]

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Metabolic Targeting of Inflammatory Pathways for the Treatment of Non-Alcoholic Steatohepatitis (NASH) and Chronic Kidney Disease (CKD)

Non-alcoholic steatohepatitis (NASH) and/or chronic kidney disease (CKD) affect more than 5 million Canadians. Progression of CKD is the primary cause of end-stage renal disease while NASH is now the leading cause of liver cirrhosis and liver transplant. Despite their high prevalence and severe impact on morbidity and mortality, current therapies are largely ineffective and […]

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Infrastructure Sensor-based Automated Driving: Development and Demonstration

In this proposal, we intend to answer how infrastructure sensors can be used for autonomous driving. Using infrastructure sensors make automated driving safer, more simplified, and cost effective especially for multiple autonomous vehicles operating in known environments such as large residential/commercial complexes and resorts. Infrastructure sensors replace the main onboard vehicle perception sensors with infrastructure […]

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A Unified Hardware / Algorithm Approach to Secured Machine Learning for Cyber-Physical Systems: Applications in Autonomous Vehicles and Connected Autonomous Vehicles Networks

The advancement of artificial intelligence (AI) systems has enabled development systems such as autonomous vehicles (AVs). However, like any other technology, AI systems suffer from security vulnerabilities, and they can be easily fooled by a smart adversary. Malicious attacks on AI systems in safety-critical system such as AVs can be life-threatening or result in financial […]

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A low-cost wearable tele-health monitoring system for chronic and infectious diseases

Continuous monitoring of health allows for early diagnosis and tracking of disease progression, thus enabling timely medical intervention. However, continuous monitoring of the patients’ health is conventionally conducted in hospitals or long-term care facilities with expensive, bulky, and unobtrusive systems, which require skilled professionals to operate. In this work, we propose an affordable, small-in-size, and […]

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Machine Learning for Auto-Scaling Corda Node Containers

We are looking to drive the operational cost down for Corda R3 nodes. Corda R3 is a smart-contract Distributed Ledger technology. Our strategy is to do so by minimizing the cloud computing resources. Using machine learning and historic data we can proactively orchestrate a large number of nodes on behalf of our clients. The interaction […]

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