Fresnel holography for radio characterization of meteoroid fragmentation

The project aims to create a Python software that helps us better understand meteoroids, which are small celestial objects originating from comets and asteroids. This tool will analyze signals from radio meteor echoes, focusing on how meteoroids break apart when they enter Earth’s atmosphere, a phenomenon known as fragmentation. By comparing the software output with […]

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Governance, Diversity, and Social Justice – The 1991 Soviet Putsch attempt

The overarching goal of the Globalink research project is to gain a comprehensive understanding of the 1991 Soviet coup attempt by delving into the motivations, strategic decisions, and enduring implications of this pivotal event. The central research question guiding this endeavor will have answers to such questions: What were the underlying motivations and strategic decisions […]

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Integrating Deep Learning and Machine Learning Techniques for Maize Yield Monitoring with Earth Observation and Climate Data to Ensure Food Security in Dry Regions

Our project aims to improve maize production efficiency and mitigate the impacts of climate change. By combining advanced computing, artificial intelligence, and remote sensing techniques, we will analyze data on maize cultivation, climate patterns, and soil health. This collaboration between institutions in both countries seeks to enhance agricultural sustainability, increase food security, and contribute valuable […]

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Humanitarian ethical exit: Development of an ethical response closure tool for Canadian Red Cross

Important challenges remain around planning an ethical, justified, and accountable strategy for transitioning from emergency to long-term planning or closure of programs. Canadian Red Cross (CRC) aims to develop a practical guidance tool for closing humanitarian programs that will combine established operational practices with evidence based ethical considerations. This research will be qualitative in design […]

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Disaster Management and Informal Settlements in India

The most recent flood in Ahmedabad, India occurred in September 2013, when 50,000 people were displaced from low lying areas of the state. The World Bank report warns that the poor living in informal settlements, such as coastal slums in India, are the most likely to be killed or harmed by extreme weather linked to […]

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Oil lubricant tribological behaviour improvement through dispersion of graphene additive

Our research project focuses on enhancing the performance of grease lubricants utilized in the mining industry through the incorporation of graphene nanoparticles. Graphene is a cutting-edge material known for its exceptional lubricating properties. The intern(s) will collaborate closely with Nova Graphene Canada to synthesize and test these advanced lubricants. The expected outcome is the development […]

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Bimetallic Cooperation: Design of an Fe–Al Complex for Carbon Dioxide Activation

The proposed project aims to address the pressing challenge of reducing greenhouse gas emissions by leveraging synthetic chemistry. By designing a novel iron-aluminum complex for carbon dioxide activation, the project explores bimetallic systems to introduce innovative pathways for reducing carbon dioxide’s harmful environmental impact. The participating institutions, Imperial College London and the researcher’s home institution […]

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Development of a Comprehensive Neighborhood-based Measure of Cardiovascular Health in Children

Promoting healthy living and reducing the burden of cardiovascular diseases are public health priorities in Canada and the United States. In recent years, the importance of measuring neighborhood contexts to address inequities in cardiovascular health has been highlighted. Many neighborhood indices have been utilized by academic researchers to explore the complex relationship between neighborhood and […]

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Computation of inverted singlet-triplet energy gaps by machine learning enhanced computational chemistry methodologies

Ce projet est axé sur l’amélioration de la conception des matériaux, en particulier pour des applications telles que les diodes électroluminescentes organiques (OLED). Des modèles d’apprentissage automatique modernes et des méthodologies spécialisées en chimie quantique sont utilisés pour enquêter systématiquement sur ces matériaux. L’initiative consiste à établir un ensemble de données complet issu d’une sélection […]

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