Dual-language development of minority speakers from face-to-face to remote delivery

The rapid shutting down of daycares and schools due to COVID-19 have left many new Canadian families isolated due to limited proficiency in English and small social networks. In regular school programs, teachers have expressed that reaching families who do not speak the language of schooling has been particularly challenging due to the language barrier. […]

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The Politics of Framing Youth and Doing Development in Nigeria

The research that I plan to conduct in this internship is part of my doctoral work. Through an ethnographic examination of the everyday realities of young men and women in West Africa’s largest marketplace, my PhD research will examine the relationship between livelihood opportunities, policy, and youth social action in Onitsha Eastern Nigeria. This research […]

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360 Concussion Care Learning Health System: A Framework to Establish Large-Scale Comparative Effectiveness Research

This project will establish the framework to extract and transform clinical data into a research dataset to conduct world-leading Comparative Effectiveness Research (CER) around concussion. The research and analyses from this dataset will inform patient care for patients with concussion and answer key questions that have healthcare and policy implications for concussion management. The framework […]

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Development of bio-physical communication model predicting potential toxicity of polycyclic aromatic hydrocarbons

Polycyclic aromatic hydrocarbons (PAHs) are environmental pollutants that occur in various chemical forms across the terrestrial and marine environments and have long been of the subject of intense research worldwide due to their highly toxic properties. PAHs are uptaken by bio-organisms and activated to electrophilic metabolites to exert their toxic effects. Meanwhile, different toxicity of […]

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CONVERGENT CROSS MAPPING FOR DEMAND FORECASTING

The availability of inexspensive electricity in a constant and reliable fashion is critical to economic development and efficient resource consumption. To this end, accurate short term load forecasting (STLF) on an electrical grid enable the minimization of dispatch and running costs on the scale of seconds to a week. Models and approaches employed in STLF […]

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L’intégration régionale comparée, trilogie euro-afro-américaine

Notre projet de recherche porte sur une comparée et instructive de l’intégration régionale en Europe, en Afrique et en Amérique. Il s’agira en pratique de tirer partie des expériences heureuses et malheureuses de l’intégration en Europe, avec l’Union européenne, qui est l’expérience la plus aboutie et l’intégration en Amérique du nord avec l’ALENA, qui présente […]

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Eye tracking and ECG as flight crew workload indicators in a training context

Pilots are responsible for the safe operations of airplanes in complex environments. Therefore, is it essential that pilots receive high quality training. High quality training is dependent on instructor’s ability to provide constructive feedback and help pilots perform to the best of their abilities. The recent development of portable biometric sensors, such as the Apple […]

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Water and CO2 Electrolysis: Understanding Ion transport

Water and CO2 Electrolysis paves the way for clean storage for renewable and green energy/electricity. Water electrolysis being a well developed technology lays the groundwork for designing the CO2 electrolysers. In the recent years the research focus has, however, shifted from proton exchange membrane (PEM) electrolysers to anion exchange membrane (AEM) electrolysers, as AEM based […]

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Porphyrin/phthalocyanine CO2 electroreduction catalysts

We are interested in the development of new technology that uses CO2 to make chemicals or next-generation fuels. Such technology would address concerns about curbing emissions and alternative fuel sources. Our objective is to investigate catalysts that can selectively and efficiently convert CO2 to CO, which is desirable because CO is a valuable commercial compound […]

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Deep learning based fault diagnostics for manufacturing systems considering data imbalance

Due to the recent 4th industrial revolution, manufacturing systems have become intelligent with the fusion of the industrial internet of things (IIoT) and cloud computing. To improve the reliability and availability of intelligent manufacturing systems, data-driven fault diagnostic methods have been paid much attention due to numerous data obtained from the manufacturing systems. Among data-driven […]

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Histoire de la conversion énergétique des déchets

Le stage à l’UQTR fait partie d’un projet postdoctoral sur l’histoire des techniques de conversion énergétique des déchets de 1970 à 2000. Il dresse une comparaison entre la France, les États-Unis et le Canada, par l’analyse des programmes de recherche et développement (R&D) ainsi que des dynamiques d’acteurs impliqués dans ces trois territoires. L’approche comparative […]

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