Developing Skills and Connections for Success in the Innovation Economy: Business Strategy Internships with the Cansbridge Fellowship

The project harnesses the robust mentor network of the Cansbridge Fellowship to enable interns to promote Market Innovation. Aligned with the Fellowship’s core mission of attracting budding entrepreneurs and fostering innovation, the intern, guided by the academic supervisor, will focus on identifying innovative organizations for potential strategic collaborations with Canada. The intern’s comprehensive market scan […]

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Assessment of microplastics released by reusable face masks under different conditions

Face masks play an important role in preventing droplets and filtrating exhalations coming from infected subjects or against various threats in the wearer’s surroundings. Approximately 129 billion single-use masks were discarded per month worldwide during the pandemic. The inadequate handling and management of single-use face masks cause many environmental problems. In contrast to disposable masks, […]

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Understanding the dependence on convenience: towards new patterns of food consumption

This project explores the post-pandemic impact of the rise of convenience on consumer eating habits. As convenience becomes a major driver of the food industry, our research examines how this emphasis can obscure essential elements such as ritual, culture, social connections, impacting the perception and pleasure of eating. Our research questions target the influence of […]

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Operationalizing Responsible AI principles to Music Discoverability AI Tools Development

The subproject focuses on the intersection of cultural policy and responsible AI development. The problem of data bias and automated recommendation are two known problems in cultural industries and AI development relevant to the Discoverability project. The project seeks to develop alternative forms of algorithmic recommendation that differ from the de facto emphasis on personalization. […]

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Deep learning-based quality control for tissue motion tracking in 2D-cine MRI-guided radiotherapy

With real-time acquisition of 2D imaging planes, 2D-cine MRI is often used to visualize rapidly moving tumors and organs-at-risk during radiotherapy, and automatic image registration of 2D-cine MRIs at different time points can assist in tracking tissue displacements. However, when sudden large motions occur, automatic registration algorithms can fail to track the radiation target, potentially […]

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NetGreener: Pioneering Environmental Sustainability in AI

NexaDeeds, in collaboration with Concordia University interns, is embarking on a groundbreaking initiative to develop NetGreener, an AI tool designed to monitor and manage the carbon emissions associated with computational tasks in machine learning. By analyzing the complexity of AI models and providing actionable insights, NetGreener aims to strike a balance between efficient AI operations […]

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DeedDex: An Intelligent Document Management and Question Answering System

DeedDex is set to redefine the landscape of document handling. Using cutting-edge AI and machine learning, this innovative tool will transform how both individuals and businesses organize, access, and interpret their vast document repositories. Through valuable collaborations with prominent institutions, the project aims to hone DeedDex’s capabilities, ensuring fast, accurate, and intuitive document retrieval and […]

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Recycling of Dredged Fluvial Clays for Bricks and Pavements Production

This project aims to investigate the potential reuse of dredged materials (DMs), which are generated as waste during maintenance activities for navigable areas, in the construction field. This will help construction industry in facing the surge in demand for raw materials to produce concrete and other construction products. To tackle both challenges sustainably, this project […]

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Pre-to-post deployment vulnerability scanning for containers

The project is in the important domain of container security where containerization is an emerging technology transforming the way a wide-range of applications are recently being deployed. This project will address unique security threats mainly due to the vulnerabilities and misconfigurations that are commonly found in container technologies. Particularly, the intern will build a comprehensive […]

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Channel Modeling of Wireless Communication Systems Using Optimized Reconfigurable Intelligent Surface Arrays

The major objectives of this research are to derive the ultimate performance limits of a communication system using Reconfigurable Intelligent Surfaces (RIS), trying to reach those ultimate limits through the optimization of elements of the RIS and their configuration, evaluating the performance of physically realizable RIS based systems given practical limitations, and trying to alleviate […]

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Development of a thermal spray WC/Co coating for abrasive concrete applications

Mechanical wear and chemical corrosion are the two main dominant factors that limit the service life of industrial machinery. Wear and tear of tools and equipment are significantly intensifying due to the increasing demand for superior efficiency, productivity, and throughput of industrial apparatuses. Since the surface of the materials is more exposed to abrasive wear […]

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Unravelling the optimal luminous environment for the black soldier fly for biomass production and conversion of biowaste

In recent years, the use of insects as feed has gained attention for its potential to tackle environmental, economic, and ethical challenges in traditional feed production. The black soldier fly (BSF) is a key focus due to its potential in creating a circular economy, particularly in waste management and protein production. Improving the breeding conditions […]

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