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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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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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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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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The use of a fast platform to design and develop anti-SARS-CoV-2 peptides for a therapeutic intervention of COVID-19

We are attempting to cure COVID-19! This is a very important initiative! Currently, no cure or vaccines are available to combat SARS-CoV-2. There is an immediate need to develop such therapies. The importance of developing a cure for COVID-19 cannot be overstated! Here, we propose an alternative approach to traditional drug development methods. Our approach […]

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Machine Learning Engineering and Optimization for Improving Seafood Production

In this project, machine learning and optimization will be applied to a 20 GB dataset on raw fish quality and process control parameters collected by the Tally software over a three-year period in a large industrial tuna cannery processor. The goal of the research is to design predictive machine learning and optimization algorithms maximizing the […]

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Private Equity and Environmental, Social, Governance (ESG)

Financial institutions are under increased scrutiny for their role in environmental, social, governance (ESG) risks and impact. In November 2019, the European Parliament introduced the first ever legislation on ‘Sustainability Disclosure’ for financial institutions. Within financial institutions, the private equity industry stands out as an asset class which could have a significant impact on ESG […]

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Improving the magnetic properties of electrical steels – Year two

This project is intended to help the industrial partner, Stelco, to develop electrical steels with improved magnetic properties through controlled thermomechanical processing. Electrical steels are widely used in the manufacturing of stators and rotors of electric motors used in general rotating machines and electric vehicles. Improving the magnetic properties of electrical steels would result in […]

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APEX Total Compensation Study

The APEX (Association of Professional Executives of the Public Sector of Canada) total compensation study seeks to provide a current assessment of executive compensation philosophies and governance within the public service sector in Canada. Issues related to limited differences in compensation between senior level managers and less experienced managers will be explored including the various […]

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Countermeasures for Hardening Embedded Security

The impact of attacks on Internet of Things (IoT) embedded devices range from threatening lives, such as attacks on wearable/implantable health devices, to threatening infrastructures in financial, transportation, and other sectors. In the IoT realm, hardware is distributed and embedded in our environment and must be hardened against malicious intentional and unintentional attack. Despite advances […]

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