Microbial water quality assessment and source tracking at Volunteer Park

Recreational waters provide numerous societal benefits and contribute to public health and well-being. Recreational waters can pose a risk to the public when microbial contamination is present. To improve quality of life and local water quality, developing new locations for recreation in Vancouver is a focus of community groups including partner organization Swim Drink Fish. […]

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Gender differences in career progress and inclusion: Navigating the impact of parenthood on recruitment and retention of women in the mining industry

Mine sites are often remote and are unable to provide the same flexibility that other workplaces do. For workers who become parents, these factors make balancing work and family obligations particularly difficult. Because research has shown that younger ( Millennial and GenZ) workers place high value on work-life balance, and because retaining skilled workers is […]

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Impact de la nature des solvants sur la température de transition vitreuse de pates de copolymère styrénique pour le développement d’un procédé de recyclage vert.

Ce projet de recherche est associé au développement d’une technologie verte de recyclage pour des copolymères styréniques tel que le HIPS et l’ABS. Ces deux plastiques sont très utilisés dans les domaines de l’électronique, de l’automobile, et dans la conception d’une myriade d’autres matériaux que nous utilisons tous les jours. La technologie de recyclage de […]

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Supervised and Semi-supervised approaches to sample growing and online prediction of customer intent

The company collects survey data from websites which is combined with behavioural data from survey respondents. This combined data set is information rich but can be too sparse for modelling purposes in a straight forward supervised learning context. As such, on-going research concerns optimizing the process by which non-survey related behavioural data can be leveraged […]

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Interdisciplinary design of music recommender systems for the enhancement of discoverability of under-represented music cultures

CEIMIA is an international non-profit organization that mobilizes expertise and resources to promote the development and responsible use of artificial intelligence for the benefit of humanity. One of CEIMIA’s role is to establish supportive connections between key players in the national and international AI ecosystems, while promoting diversity and inclusion in all their projects.

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Embedded Philosophy in Near-Living Architecture

The intern will investigate the architectural potential and philosophical merit of Near-Living Architecture, a design that allows environments to be aware and empathetic to their occupants. To do this, the intern will edit and contribute to the upcoming Near-Living Architecture Monograph, a written work describing the vision, execution and future applications of research conducted by […]

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Build Cross Platform Mobile application supporting various screen resolutions

Diversity among the mobile platforms requires an application developer to develop separate applications for each platform. Reason for this is the unique technological support and features that each platform comes embedded with. To use the features associated with any particular platform, we need to use the underlying SDK supported by that platform. Major market share […]

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Observational study exploring the link between cannabis, music, and absorption in a cannabis smoking lounge

The proposed research project is an observational study that aims to explore the relationship between cannabis use and music enjoyment in a real-world setting, specifically within a cannabis smoking lounge. By studying how cannabis affects individuals’ absorption in music, we hope to shed light on the mechanisms underlying this phenomenon. Partnering with Lit Research, we […]

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Self-supervised learning for animation

In response to the dynamic challenges inherent in the gaming industry’s character animation pipelines, characterized by the labor-intensive and error-prone nature of manually labeling frame-by-frame data, this project endeavors to integrate Self-Supervised Learning (SSL) techniques into the animation workflow. SSL offers a compelling solution by enabling the acquisition of efficient and generalizable representations from large […]

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