Cross-Domain Recommender Systems with Limited Human Annotated Data

Recommender systems are artificial intelligences that, as their name would suggest, make recommendations based on provided inputs. For example, recommending jobs a person can apply to based on their resumes. Existing research on recommender systems in the Job and Education domains have focused on a single domain. Our research focuses on bridging the gap between […]

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Vanadium-Induced Protein Aggregation

Human health is impacted every day by metal contact, ranging from direct contact with metal surfaces to exposure to corrosion by-products, nanoparticles, or ions. The interaction of human proteins with these materials remains poorly understood, but metal-protein contact has been implicated as the cause of many adverse physiological reactions, such as allergies, contact dermatitis, and […]

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Assessing Equity, Diversity, and Inclusion in a Not-For-Profit Organization

Equity, diversity, and inclusivity (EDI) initiatives can have a variety of benefits. However, the existing research focuses on how organizations can use recruitment and selection to promote EDI goals. When organizations cannot use recruitment and selection, how to enhance EDI is more ambiguous. The proposed research intends to increase our understanding of EDI in the […]

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Preparing bio-plastic form lignin and chitosan extracted from renewable resources

Plastics play a vital role in our daily lives, touching various sectors such as construction, healthcare, automotive, agriculture, and packaging. Packaging films, in particular, serve diverse purposes for both food and non-food items. However, the widespread use of disposable plastics leads to a significant waste issue. To address this, there’s a growing push to replace […]

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Longitudinal Associations Between 24-Hour Movement Behaviour and Early Life Mental Health Indicators

Common mental health disorders (e.g., anxiety and depression) can begin in early childhood, with many symptoms (e.g., high levels of irritability) present during the early years predicting mental health disorders in later life. Research suggests that healthy movement behaviours (i.e., physical activity, reducing sitting, sufficient sleep) are associated with lower risk of mental health disorders […]

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L2M – Cross-platform App for self-assessment of speech in noise performance

The DSP and electroacoustics lab (DEAL) at the National Centre for Audiology (NCA) conducts research and development in the digital health technology landscape, with a specific focus on creating a mobile hearing assessment application. This initiative is crucially timed to address the escalating issue of hearing loss, which is anticipated to impact 2.5 billion people […]

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Health monitoring and control of masonry structures

The development of international standards and codes led to the creation of safe and properly designed fully cured masonry structures capable of withstanding lateral loads induced by wind or earthquakes. However, as the age of masonry plays an important role on its strength, it was reported that before it is fully-cured, masonry is vulnerable to […]

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Sherry Shu: Using Artificial Intelligence and Machine Learning to Innovate in the Canadian Fintech Landscape

This project aims to identify new technological approaches to personal finance to bring into the Canadian market. Managing personal finance is critically important for Canadians, especially in a post-pandemic era of economic difficulty and high prices. The project will use customer research related to fintech and artificial intelligence in Malaysia to investigate potential areas for […]

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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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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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Machine Learning and Interactive Visualization to Detect Dose Associated Adverse Drug Events in Drugs Prescribed to Older Adults

In this research project, we aim to address the uncertainties in the efficacy, safety, and dosing of prescription drugs, particularly for older adults who are more likely to take multiple medications. Pre-market drug trials often exclude the older population, leading to potential risks. Our proposed method involves utilizing machine learning and interactive visualization techniques to […]

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