Relation between biometrics and traumatic brain injury risk: developing a data analysis procedure for concussion risk assessment and management

This project will attempt to uncover more insights into the importance of certain biological, situational and environmental factors that contribute to traumatic brain injuries (TBIs), especially in youth sports. By doing this, we hope to work towards better prediction, prevention, diagnosis and treatment of concussions and other TBIs.

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Symbolic Model-Based Design of a Semi-Autonomous Vehicle Prototype Implementing Independent Wheel Torque Vectoring for Training an Advanced Driver Assistance System

There is a strong belief that autonomous vehicles will play a vital role in the future of the global transportation economy. There, however, exists many open challenges which need to be overcome to realize this future vision. One such challenge is the acceptance from the driver to relinquish full control of a vehicle and ultimately […]

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Mentorship Needs in the Ontario Manufacturing Industry

This project will identify the necessary components for a high-quality mentorship program for workers in the Ontario manufacturing industry. Through review of existing mentorship programs, interviews with mentors and mentees, and a job analysis procedure for the mentor role, this research will assess the mentoring needs of manufacturing workers. The project will produce a task-based […]

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Initiatives locales en environnement et en aménagement urbain (ILEAU) : des innovations sociales et techniques pour des villes résilientes et en santé

ILEAU (Interventions locales en environnement et aménagement urbain) est une campagne portée par le Conseil régional en environnement de Montréal ayant pour objectif d’améliorer la qualité des milieux de vie, en réduisant les ICU et en créant une trame verte et bleue active qui augmentera la biodiversité locale et favorisera les déplacements actifs sécuritaires dans […]

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Design Automation and Optimization Using Artificial Intelligence

The goal of our proposal is to develop three automated processes in the field of construction using artificial intelligence. The first process is to develop a method that can convert two-dimensional drawings into three-dimensional models that can be further manipulated on a computer. The second process is to optimize the cutting of raw materials– such […]

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The Petawawa Biofibre Harvest Trial

This project will assess the potential for using unmerchantable wood as feedstock for the production of biofuels and bioenergy. Large tracts of forests within the Great Lakes-St. Lawrence Forest (GLSL) consist of low quality pine- mixed woods that could supply feedstock if the unmerchantable wood were recovered in a sustainable and cost-effective manner. We will […]

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Developing forward curve models for power risk management

When a company has excess power generation at its disposal, a natural course of action will be to seek to market that power. However, power markets are notoriously volatile, and this makes the cash flows that result from selling the power unpredictable and hard to plan for. The aim of this project is to help […]

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Field evaluation of bacilin 20: Herbicide stress and accelerated flowering

Plants are always associated with a well coordinated and beneficial community of microbes – the phytomicrobiome; this plus the associated plant forms the holobiont, the entity that provides crop yield. There is considerable communication between the phytomicrobiome and the plant, often in through signal compounds. Bacilin 20 is a small protein produced a Bacillus thuringiensis […]

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External Vibration Stimulation Assisted Cyclic Solvent Injection Process for Enhanced Heavy Oil Recovery

Our proposed study will research on the combination of vibration stimulation with cyclic solvent injection to reveal the associated interaction mechanisms between solvent and heavy oil, and to determine the optimal vibration frequency for heavy oil displacement recovery at actual reservoir conditions. This research project mainly focuses on the experimental tests of sandpack flooding with […]

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Machine Learning for Default Prediction of Private Pension Administrator

In this research project, we will partner with the Financial Services Regulatory Authority of Ontario (FSRA) to enhance its default prediction model for private companies administering pension plans in Ontario. Our goal is to enhance the current model’s timeliness in predicting default of private companies by addressing the lack of publicly accessible information from these […]

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Land-based learning: Facilitating reconciliation & advancing the integration of Indigenous and Western knowledge systems

The Truth and Reconciliation Commission (TRC) (2015) report calls for the integration of Indigenous knowledge and teaching methods into educational curriculum. Critical to decolonizing education is reinserting people into relationships with the land as a mode of education, referred to as ‘land-based learning’. This proposed research project will establish best practices for the establishment of […]

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BC Pulp and Paper Bioproducts Alliance: Development and demonstration of forest residues to renewable natural gas technologies

This proposed project will support our ongoing efforts in scanning and screening existing technologies and de-bottlenecking key technology barriers in converting low-cost biomass residues to renewable natural gas in British Columbia pulp, paper and lumber mills. Specifically, we will focus on developing a bauxite residue (f.k.a., red mud) based catalyst for the removal of tar […]

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