L2M – Valorization of wood pulp for sustainable insulation foams

The project focuses on creating and marketing a sustainable insulation foam made of pulp wood, replacing traditional materials like polyurethane and expanded polystyrene. This eco-friendly substitute aligns with the global demand for sustainable products, particularly in the building and insulation sectors.

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L2M – Novel deep brain stimulation device for the treatment of neurological disorders based on magnetic nanocomposite technology

Globally, neurological conditions are the second highest cause of death and the leading cause of disability, affecting 40% of the population to some extent, a number expected to double in the next two decades. The vast landscape of neurological disorders are combated with various approaches: pharmacological, therapeutic, and surgery; however, the WHO warns that with […]

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Environmental Site Assessment Utilizing Multi and Hyperspectral Imagery and Computer Vision

This research project is a feasibility study designed to assess the viability of employing advanced technology for oilfield environmental site assessment and restoration. The conventional labor-intensive and manual process of evaluating oilfield sites for potential remediation or reclamation is performed in the field at high cost. Our primary objective is to investigate the feasibility of […]

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Membraneless Electrolyzer for Low-cost Hydrogen Production

A membraneless electrolyzer, as the name suggests, eliminates the requirement of the membrane, and a microchannel flow-based separation of the gas products is attained to obtain pure hydrogen. Unlike PEMWE, membraneless electrolyzers have fewer components consisting of a microchannel encompassing a pair of electrodes, thereby showcasing high resiliency and increased operational lifetime. This translates to […]

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Developing an ecological forecasting tool and digital twin methodology for restoration initiatives

Ecosystem restoration initiatives are considered among the most effective strategies in mitigating the effects of habitat destruction and biodiversity loss from human activities. The ecological restoration company Veritree is currently building an infrastructure of monitoring data streams for their projects to ensure that they are realizing their anticipated benefits. In this research project we will […]

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Subsystem Optimization of Intelligent Automated Distribution Kiosk

This project is an R&D project intended to solve the problem relating to a piece of machinery, a retail kiosk for distribution of age-restricted beverages, that has overall reliability issues due to a compounding of sub-optimally performing devices and subsystems exacerbated by competing timeouts; and unpredictability of human users.

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Accountium III – AI driven cash flow and budget prediction

Creative Emporium provides digital Accounting System Maintenance, minimizing human intervention. The current software does not have an intelligent engine to automate cash flow analysis and budget analysis. This process takes hours for an accountant to do manually and the results are not that accurate due to human errors. The General objective of this proposal is […]

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Machine learning approach to monitoring and decarbonizing mineral processes

Within Canada’s commitment to the 2030 Agenda for Sustainable Development, a pivotal goal involves taking immediate action to combat climate change and its far-reaching effects. The specified target is a 40% to 45% reduction in the country’s total greenhouse gas (GHG) emissions below 2005 levels by 2030. To transition away from fossil fuels and embrace […]

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