Development of a effective energy management system for hybrid renewable energy systems

As global demand for clean energy rises, hybrid renewable energy systems (HRESs) integrating solar, wind, and energy storage offer opportunities to reduce reliance on fossil fuels. However, the operation and management of HRESs remain a significant challenge due to the inherent variability of renewable resources, technological limitations, and the complex interaction among system components. Therefore, […]

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The potential of LCA models to assess the carbon intensity of fuel fractions produced after coprocessing biogenic feedstocks at Parkland’s refinery

In this proposal by assessing the assumptions/data used to impact regulatory credits in programs such as BC-LCFS and the federal CFR, the LCA models will be refined to be more representative. This research will build on past Parkland/MITAC’s supported work which tracked the “green molecules” distribution both within the refinery and in the final fuel […]

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L2M – PoseidonPulse

The proposed project focuses on developing a business and go-to-market strategy for PoseidonPulse, an advanced AI-powered water quality monitoring system designed to improve sustainability and operational efficiency in Canada’s aquaculture industry. By continuously tracking essential water parameters, this system enables aquaculture farms to proactively manage water quality, supporting healthier fish populations and optimized farm performance. […]

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Heat Stress in Dairy Animals: Classification, Genetic Selection and Production Index

The objectives of the present study are to: evaluate the effects of environmental temperature on circadian variation of rectal temperature in dairy animals; determine thermo-resistant and thermo-sensitive groups of animals based on this temperature variation; examine new parameters for the ascertainment of caloric stress (e.g., minimum and maximum temperature ratio, number of hours above a […]

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Analytical Techniques for Understanding and Enhancing Consumer Sustainability Behaviour

This research explores the factors influencing Generation Z and Millennial consumers’ engagement with sustainable fashion, particularly within collaborative consumption models. By applying machine learning techniques, the study segments consumers based on their sustainability behaviors and identifies key drivers and barriers, such as cost, quality, and environmental awareness. Clustering methods are also employed to uncover patterns […]

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Developing rheologocal models for bubble flow in complex fluids

This project aims to improve our understanding of bubble dynamics in complex, non-Newtonian fluids, which display elastic, viscous, and plastic behaviors. These materials can be found in processes like oil sand extraction and food processing. Current models, such as the Herschel-Bulkley and Bingham models, fail to account for long-term material changes caused by prior bubbles, […]

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Short-term effects of anthropogenic sediment additions on biogeochemical properties of the Fraser River Estuary

The Fraser River estuary tidal marsh is declining, and loss of this key habitat has wide ecosystem implications, from supporting juvenile salmon to migrating shorebirds. The Sturgeon Bank Sediment Enhancement Project is attempting to reverse this trend. This project will assess the short-term effects of anthropogenic sediment additions through assessment of biogeochemical and microalgal indicators.

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L2M – An adaptive communication module for real-time network switching between satellite and cellular or radio to optimize connectivity for autonomous maritime vessels (MASS).

The project aims to create a mountable communication system, for Maritime Autonomous Surface Ships(MASS) that enables them to switch between satellite and cellular networks like LTE and 5G depending on signal strength automatically. This innovation ensures communication for the smooth and secure operation of unmanned ships. By investigating market requirements and strategic plans this initiative […]

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Cytotoxicity analysis of novel monoclonal antibodies targeting SSAT-1

Cancer is one of the leading causes of death worldwide with approximately 8 million deaths in 2010. Most cancer treatments lack specificity and affect the whole body, with toxic effects on both cancerous and normal cells. The cytotoxic effect of a new therapy developed by Biomark Technologies, Inc. targeting cancer cells will be assessed. Biomark […]

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Intelligent Revenue Management: Automated Insights for the Transportation Industry with applied machine learning.

Business Case / Problem: The travel industry is increasingly competitive, requiring innovative approaches to pricing, distribution, and strategic planning. This business case proposes an development of a machine learning (ML), or equivalent module to specifically analyze two types of telemetry data: pricing, booking across multiple distribution channels. By leveraging this data, the module will provide […]

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Arcana Luminis

As physical materials, water and glass play a key role in defining Vancouver’s unique urban soundscape. In the same way that light is refracted through prisms, so to is sound refracted through water and glass; so to is music, through the prisms of our minds as composers, performers, and as an urban community. Arcana Luminis […]

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