Influence of Chemical Dyes on Polyethylene Terephthalate Polymerization

This project seeks to examine how impurities affect the polymerization kinetics of recycled polyester monomers. The textile industry used over 50 million tons of polyester fibers made from polyethylene terephthalate (PET) annually.1 Because polyester fibers are slow to degrade, waste textiles have accumulated in landfill and natural environments, causing near-permanent land contamination.2 The ability to […]

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Vehicle Re-identification using Computer Vision and Machine Learning

This work aims to design and develop an efficient visual based vehicle re-identification system for International Road Dynamic. Vehicle re-identification, which is defined as: Identifying, classifying, and position-referencing a vehicle of interest through images/video streams collected via a network of camera stations, plays a key role towards developing intelligent transportation system.

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Electric Vehicles (EVs) Impact on Labour Market and Independent Retail Gasoline Dealers and Auto Service & Repair Industry

This research project involves the evaluation of scholarly journal articles, a series of interviews to anticipate the impending effects that electric vehicles will have on the Nova Scotian automobile sector. This project is in partnership with the Automotive Sector Council of Nova Scotia, a non-profit organization, to provide usable data for long term planning and […]

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Characterizing the key aroma-active compounds and non-volatile compounds in raw and processed salmon (Salmo salar) and salmon alternative products

Fish are an important food source; however, the sustainability of current seafood supplies is a major concern for key stakeholders. The development of plant-based seafood is an underexplored path that could alleviate some of the pressures on aquatic ecosystems. Although, flavour is an important attribute that determines the acceptability of alternative seafood products, emulating the […]

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Assessment of Decoating Strategies for Aerospace Structures

Removal of specialized coatings and paint from lightweight aircraft structures through laser ablation is very promising and environmentally safe decoating process compared to existing methods such as chemical stripping. However, research is needed to understand the effect of the laser process on the underlying materials. This project will include an in-depth experimental study of the […]

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Development of RWA tools for the design,operation and migration of terrestrial andsubmarine coherent networks

The project covers the design and optimization of long-haul and ultra long-haul wavelength division multiplexing (WDM) networks. The objective is to develop routing and wavelength assignment (RWA) algorithms for next-generation terrestrial and undersea networks that are based on the use of highspeed dual-polarization coherent transponders. The goal is to improve the performance and accuracy of […]

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Direct CO2 Capture with Amine-Functionalized Metal–Organic Frameworks (MOFs) – Experimental and Modeling

This project supports a carbon management project involving Advanced CERT Canada active in Energy and Environment. The project aims to remove obstacle to cost effective developments of carbon emission reduction in Canada. This will be through developing strategies and techniques to capture CO2 using Amine-Functionalized MOFs. The MITACS support will be used to hire a […]

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North Park Neighbourhood Needs Assessment

The North Park Neighbourhood Association in partnership with the University of Victoria will undertake the planning process for a future community needs assessment to gather information on the health, wellness, and social inclusion of those who live, work, and spend time in North Park. The planning process will be done in partnership with the NPNA […]

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Predicting for Targeted Advertising by Maximum Information Coefficient

Predictive modeling is a statistical data mining approach that builds a prediction function from the observed data. The function is then used to estimate a value of a dependent variable for new data. The objective of the project is to develop predictive models by machine learning approach and data mining techniques from the large volum […]

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The development and rollout of a randomized control trial evaluating the impact of a 12-week mind-body wellness intervention in patients with primary biliary cholangitis (PBC)

Persons with primary biliary cholangitis (PBC) experience significantly higher rates of fatigue, stress, anxiety, depression, and impaired health related quality of life (HRQOL) as compared to the general population. Online wellness programming ranging from physical activity to mindfulness interventions has been shown to be effective in decreasing fatigue and improving mental wellness in a variety […]

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Identifying the effects of COVID-19 on the mental health of the visible minority essential workers and their coping strategies

Canada has made an extensive effort to tackle the COVID-19 pandemic. Despite all effort, however, some populations were hit harder by the COVID-19. Visible minorities, who often include immigrants and refugees have been disproportionately exposed to and affected by the COVID-19. Especially, the visible minority essential workers who are crucial for the country’s infrastructure including […]

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A new additive manufacturing technology for biobased polyurethane composites

Evoco Ltd. is a Toronto based company specialized in manufacturing bio-based and environmentally friendly polyurethane (PU) materials that have a wide range of applications, including but not limited to footwear, apparel, sports equipment and pet products. The company is interested in incorporating advanced manufacturing and 3D printing technologies into their PU material fabrication procedures. The […]

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