Intelligent Systems Data Ingestion and Analytics

This project will support the development of comprehensive, multidisciplinary Smart Building, Smart Transportation, and Smart City management systems in order to improve energy performance, operations cost, safety and reliability for large infrastructures in the private and public sector. The research problem to be addressed is to develop effective methods to ingest and analyze massive amounts […]

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Chemically upgradation and hybrid biocatalytic valorization of lignin into green aviation ligno-jet fuel and paraffinic hydrocarbons

‘Low-Carbon Fuels’ refer to fuels produced from biological and waste resources with lower lifecycle greenhouse gas emissions than fossil fuels. This project, supported by Suncor and performed at Ryerson University, aims to explore the use of innovative biocatalytic and catalytic processes to produce drop-in ligno-biojet fuel from lignin. A single biochemical step will be utilized […]

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Community Energy Profiles and the CASES Toolkit

The Community Energy Profiles and the CASES Toolkit project is part of a larger partnership involving 15 communities and 16+ private and public sector partner organizations in 4 countries. Co-led by Drs. Greg Poelzer and Bram Noble, the project includes 7 interns with interest in the areas of energy policy, impact assessment, economics, energy systems […]

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Developing genomic and transcriptomic tools for analysis of cannabinoid producing yeast strains

The therapeutic potential of cannabinoids is well established. The study of these molecules is primarily based on their availability from the cannabis plant (Cannabis sativa). In addition to common cannabinoids, there are dozens of rare cannabinoids produced in C. sativa with potential therapeutic benefits that cannot be fully evaluated because of their scarcity. Thus, there […]

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Automated diagnosis of liver fibrosis and steatosis using deep-learning algorithms applied to conventional liver ultrasound

Non-alcoholic fatty liver disease (NAFLD) is one of the most common liver disorders worldwide. NAFLD could lead to end-stage liver disease and considered as one of the most common causes of liver transplantation. Moreover, a large number of liver transplant recipients develop NAFLD after transplantation due to side effects of the medications that they have […]

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Identification of high-frequency periodic acoustic fish tags with deep learning

Innovasea produces fish tags and receivers to track the presence and motion of fish and marine mammals while underwater. Fish tracking (acoustic telemetry) is used by researchers worldwide to determine the abundance and habits of marine life, make decisions about fishing seasons and allowed catches, and help protect marine mammals. Innovasea has developed a novel […]

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Nature Based Outdoor Recreation ROI Framework

The project will develop a conceptual framework to quantify the value of nature based recreation. The tool will focus on improvements in physical health, improvements in mental health and health benefits associated with improved ecosystem protection. The tool will provide provincial, municipal and community organizations a mechanism to support informed program, policy and planning decisions […]

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Next Generation candidate screening and assessment platform featuring psychological profiling though gamification

This project is the first step to providing Thinking North’s Purple Squirrel recruitment platform to go beyond traditional matching with a novel, data-backed holistic candidate matching process. To provide a robust system, Thinking North is collaborating with Seneca’s School of Software Design and Data Science to use advanced artificial intelligence and gamification techniques to combine […]

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AI Powered Adaptive Assessment

This project focuses on the problem of time and the human resources involved in conducting a secure offline/online pre-recruitment or training assessment. We are proposing an online secured platform powered by Artificial Intelligence and Machine Learning for safe and smooth online assessments, boasting of an advanced reporting and automated process to save time and ensure […]

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Automatic Annotation of Vertebral Heart Score and Tibial Plateau Angle in X-ray Images

The proposed work combines artificial intelligence and diagnostic medicine. Using X-ray images, radiologists and veterinarians can perform an array of measurements to assess patient health. In a veterinary setting, standard measurements and annotations are performed on X-ray images to assess heart and knee health in canines, namely vertebral heart score (VHS) and tibial plateau angle […]

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Driver motion prediction using behaviour classifications of vehicles

A significant portion of decision making, path planning and navigation algorithms for Autonomous Vehicles (AV) rely heavily on accurate estimation of the current location as well as future trajectories of the surrounding road users. There are different kinds of drivers in urban environments, and an expert human driver will identify dangerous drivers and avoid them […]

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An AI-based climate impact assessment framework for infrastructure in northern Canada

The thawing of permafrost, due to climate change or alterations in the ground surface energy balance, poses significant threats to infrastructure and communities in northern Canada. A main step towards the design of resilient infrastructure is to assess the climate threat (exposure) and predict the response of the infrastructure (vulnerability). The stability of permafrost is […]

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