Sex differences and body morphology on thermal discomfort thresholds during rest and exercise

Thermal comfort can be broadly defined as a scenario where an individual expresses satisfaction with their thermal environment. However, our thermal environment is rarely constant, and these changes in our thermal environment can negatively affect our thermal comfort. Additionally, a certain thermal environment can be comfortable for one person but uncomfortable for another, because our […]

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Analytical Techniques for Understanding and Enhancing Consumer Sustainability Behaviour

This research explores the factors influencing Generation Z and Millennial consumers’ engagement with sustainable fashion, particularly within collaborative consumption models. By applying machine learning techniques, the study segments consumers based on their sustainability behaviors and identifies key drivers and barriers, such as cost, quality, and environmental awareness. Clustering methods are also employed to uncover patterns […]

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Grizzly Bear Movement Ecology, Habitat Selection, and Population Connectivity between threatened populations in southern British Columbia

This research project is focused on grizzly bear populations in southern British Columbia at the extent of their species range. While population recovery has occurred in parts of the ragnge, some popualtions continue to deline and large areas remain extirpated. Where the degree of population fragmentation is known this project will focus on analyzing how […]

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Integrating Optical and RADARSAT-2 Imagery for Enhanced Lake Ice Monitoring

This project aims to improve how lake ice is monitored in Canada by combining images from optical and RADARSAT-2 satellites with advanced data analysis techniques. Monitoring lake ice is important because it reflects climate changes, which affect both local and global environments. The partner company, ApoSys, specializes in using satellite technology for environmental monitoring, but […]

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Makerspace YK – Membership Management and Security

Makerspace YK (MSYK) is a non-profit makerspace in Yellowknife NT, in its first two years of operation. MSYK’s. The challenge for the organization is their current membership management process that utilizes a combination of different existing applications as well as manual administrative time to operate. This inefficiency along with the limitations of staff capacity to […]

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Persuasive Micro-Data Videos (MDVs) to support children’s outdoor play and learning in schools

Micro Data Videos (MDVs) are short videos, typically under one minute in length, that incorporate data visualizations to tell compelling, data-driven stories. In today’s fast-paced world and with increasingly shorter attention spans, MDVs have become a highly popular format for disseminating data-based information. Their strength lies in the ability to present factual data to the […]

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Penstock air inlet performance during emergency closure

This project aims enhance the safety and reliability of hydropower systems by preventing the creation of significant sub-atmospheric pressures (i.e. vacuum) in penstocks during rapid dewatering events. Air-intake systems relieve vacuum conditions, but the 3D flow dynamics around these systems during emergency scenarios are not fully understood. The project will develop a comprehensive suite of […]

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Fast Scenario Identification and Classification

Self-driving cars represent a transformative innovation in transportation, promising safer and more efficient travel. However, their development faces significant challenges, including accurate prediction, path planning, and safe maneuver execution, especially under varying driving conditions. Ensuring safety across all potential scenarios within the operational design domain is paramount. To effectively address this, we propose developing algorithms […]

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Vision-based Maneuver Classification for Autonomous Driving

The proposed research project aims to address the challenge of accurately detecting and classifying complex driving maneuvers in real-world conditions. Partnering with Matt3r Technologies Inc. in Vancouver, BC, this research will develop a deep learning model that uses multiple types of data, such as dashboard video, to achieve maneuver detection for autonomous vehicles. This innovation […]

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Deep Learning for Acoustic-based Pipe Leak Detection

Current leak detection methods for water pipelines, such as fixed acoustic devices and Pipeline Inspection Gadgets (PIGs), require shutting off the water supply and are often impractical for field inspections. These methods demand extensive workforce and time and often fail to detect smaller leaks effectively, leading to significant water loss, increased operational costs, and potential […]

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Advancing Brokol’s Tech: Developing Features & Enhancing the UI/UX for Reducing household Food Waste.

The proposed project at Brokol Enterprises Inc. involves two interns working on different but complementary aspects of the Brokol app, which aims to reduce household food waste by helping users manage their groceries more efficiently. Shin Tan (Intern 1) will focus on improving the app’s technological features, enhancing existing functionalities, and developing new ones to […]

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