Machine learning in the charitable sector is only beginning to be used successfully. Fundmetric Inc has applied various machine learning algorithms to predict donor behaviour, such as who will become a major ($10,000+) donor and which lapsed donors will return if stewarded correctly. There is ample opportunity for research in this domain, including building a […]

The intelligent control of space cameras project is concerned with development of the next generation of space cameras. Currently, there is a large gap between the onboard capabilities of standard commercial cameras and those currently in space (examples include image resolution, onboard storage, advanced scene understanding and exposure control). Closing this gap for space camera […]

Les start-up sont des entreprises émergentes qui contribuent positivement au développement socio-économique de la société. Les entrepreneurs à la tête de ces entreprises cherchent souvent un accompagnement entrepreneurial offert par des organismes nommés incubateurs. Des différences de perceptions entre ces deux parties freinent la mise en place d’une relation collaborative à long terme. Cette recherche […]

This project aims to conduct a comprehensive review of existing power line (PL) data processing procedure used in practice and to design and develop the new automatic workflow by integrating start-of-the-art algorithms with current data processing chain. This leads to the establishment of an innovative framework on automatic PL feature detection and reconstruction from LiDAR […]

As shared micromobility services (e.g., e-bikes, public bike shares, e-scooters) expand, there are uncertainties in how these will integrate with our current transportation systems. This project aims to examine public perceptions of micromobility in Metro Vancouver to understand the potential for shared micromobility in the region. Using surveys, focus groups, and case studies we ask: […]

Cohesys is developing a surgical tape indicated for stabilizing fractures to the face and cranium. In order for a tape to function inside the body, the adhesive must be non-toxic and be able to adhere and maintain strength overtime, in an environment which is wet, filled with proteins and other molecules and be able to […]

The evolution of aerospace technologies and automated systems has been accompanied by the phenomenon of “de-crewing”. A large body of current research focuses on how to move to single-pilot operations (SPO), but a major barrier to the implementation of SPO and other autonomous commercial aircraft operations is that advances in human-machine interactions and human factors […]

Sex Now is a community-based health survey for gay, bisexual, and other men who have sex with men (GBMSM) in Canada. It is one of only a few studies of GBMSM to be inclusive of transgender men and non-binary people which presents a novel and exciting opportunity to understand these groups’ sexual health and wellness […]

Even if people have access to a past history of how they spend their time and their money, it can be challenging to make sense of past patterns in order to make decisions about how to better use their time and money in the future. By enabling past patterns to “pop out” visually, interactive visual […]

As the digital landscape continues to evolve, it becomes increasingly more important to understand how technology affects cognition, emotion, and behaviour. This rapid growth of technology has also led to the development of empathetic computing programs with the goal of augmenting people’s lives. It is crucial to discover the practical implications of these systems. This […]

Humans have a finite capacity for hard exercise. Sports scientists can mathematically determine this capacity by using multiple tests to exhaustion at different exercise intensities and looking at the relationship. However, the current testing protocols assume that once the initial point of fatigue is reached, exercise must be stopped. In the proposed study, we aim […]

Analyzing customer behavioral patterns and attrition aids organizations in understanding its core customers and improve its decision-making processes in regards to customer attrition and targeted marketing. In this research project, we will develop behavioural analytics super network models and algorithms for behavioural customer segmentation and attrition prediction in the presence of big data. Our models […]