Sustainable and Reusable Face Masks for Combating the Spread of COVID-19

This project seeks to develop a novel, sustainable, self-sanitizing face masks for purpose of providing more robust solutions and mitigate the health risks for the front line workers and general public during this, as well as any future pandemics. This is accomplished by design of novel filters composing of cellulose derived nanofibrils and electrochemically exfoliated […]

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Integrated modeling for systematically examining the performance of the Kennedale constructed wetland for a clean Canadian water environment

Constructed wetland is a critical water infrastructure in major Canadian cities like the city of Edmonton, which treats wastewater including storm water by reducing the suspended solids and the related contaminants before entering into receiving waterbody. The design and evaluating the performance of a constructed wetland requires accurate prediction of flow fields and particle pollutants […]

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Direct Lithium Extraction (DLE) from brine solution using electrochemical method

The demand for lithium-ion batteries (LIBs) is on the rise, mainly due to increased interest in portable devices, electric vehicles and grid-storage applications. The key component in such rechargeable batteries is lithium, which is trivial from the name itself as well, as lithium-ions shuttle back and forth during charging/discharging process. Consequently, lithium production demand has […]

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Pattern classification of flow limited breathingvia acoustic measurements

Snoring during sleep is common and is sometimes indicative of a mechanical impediment to breathing. The condition, called high upper airway reSistance, is thought to be relatively common affecting roughly 15% of the population. It is characterized by complaints of day1ime fatigue and/or sleepiness and is associated with a myriad of disastrous effects on a […]

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Advancing Climate-mediated Wetland Assessment and Change Detection using Earth Observation Data Fusion and Advanced Analytics

Quantifying the current extent of wetlands and how they have changed over the last number of years is important for understanding how wetland ecosystem services (including flood mitigation, food services, and migrating bird habitats) are sensitive to climate change. In this project, we will work with the partner organization to develop accurate methods for wetland […]

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Respiratory Health System and Pandemic Early Warning System

The goal of this project is to develop a low-cost ventilation system which accurately detects and records both patient treatment data and environmental data is in great need. Further, such a system will allow to create a global health map. This research and resulting hardware and software will not only benefit the current research of […]

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Plant oil based resins for hemp biocomposite materials

Plant oils are attractive renewable feedstocks for the synthesis of biobased resins. However, the current bioresin technologies are unable to address certain challenges including (1) achieving a sufficiently high biocontent in the final product, (2) the synthesis of bioresins via green chemistry, and (3) a commercially feasible bioresin cost. In this research, the MITACS intern […]

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Modelling beneficial management practices in agriculture to analyze effects on greenhouse gas emissions and environmental sustainability

Agriculture emit greenhouse gases to the atmosphere. In this project, we will look for best management practices to decrease these emissions. To accomplish this, we will review the literature to learn what have been done before, and what best management practices work well for decreasing greenhouse gases emissions. We will also use an existing software […]

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Intelligent Production Optimization in Real-Time by Implementing Hybrid Data-Physics Simulation

In day to day operations, oil producers need to optimize their production workflow to reduce operational costs. Building a physics-based reservoir model is costly and time-consuming and is not suitable to generate and compare many scenarios. The alternative procedure, Data-Driven Model, is fast enough; however, testing and validating the model is controversial. In this project, […]

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Predicting risk of unplanned hospital readmission within 30-days of discharge using machine learning approaches

Unplanned hospital readmissions are a preventable and costly outcome in the health care system. There are limited tools to estimate risk of readmission. The machine learning process offers an opportunity to develop a risk predictor to identify those at high risk of readmission upon discharge. OKAKI has an opportunity to diversify the commercial products it […]

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Up-scalable production of high efficiency perylene diimide (PDI)-based organic light emitting devices using slot die coating methods

With respect to large-area display applications, it is desirable to have not only the active layers but also the electrodes in the OLEDs that can be formed by solution fabrication process. To address the manufacturing challenges of high-performance OLEDs, several scalable techniques such as doctor blading, ink-jet printing, and ultrasonic spray coating have been developed […]

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