The main objective and outcome of the proposed research project will try to develop a model that will be able to predict the water consumption level of users as well as the station. Deliverables of the project will be reports, presentation and a software solution that will include a model for the forecast of water […]

Throughout western Canada, declines in woodland caribou (Rangifer tarandus) continue at unprecedented rates. Caribou calves are especially vulnerable in their first four weeks of life, after the calving period. During this time, mother caribou must effectively select habitat that is rich in food resources, but also minimizes likelihood of predation. In the Rocky Mountains of […]

In the military, concussions are common and many occur while non-deployed, including during cadet training exercises. For the majority of those with concussions, symptoms resolve on their own but for a “miserable minority” symptoms persist beyond the typical 3-month recovery period, impacting quality of life. Most concussion research produces group level inferences which cannot be […]

In the steelmaking industry, process control models need to be based on a sound physical understanding of the process but should also account for many uncertainties due to the nature and complexity of the environment in which the process is carried out. As a result, it is crucial to extract useful process control information from […]

The proposed solution will address the aforementioned challenges by attempting to provide scalable authentication and encryption mechanisms. A combination of software and hardware based approaches can be used to provide enhanced security to constrained IoT nodes with respect to their timing and power demands. Technologies such as Bluetooth or 802.11ax mesh networking could be critical […]

In this project, we are interested in device-free methods that passively sense, monitor, and track people’s indoor presence, location, and movement using off-the-shelf Wi-Fi-enabled devices. We use information extracted from the physical layer of wireless links to detect and interpret human presence, location, and physical activities. The current design and implementation of Wi-Fi-based systems exhibit […]

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner […]

The Early Intervention Program (EIP) is a family-based intervention targeting families of children who are off the healthy weight trajectory. The EIP is a 10-week program offered at community centers across BC where children and their families meet once a week for 90 minutes. Parents will be provided with healthy lifestyle content and will engage […]

The reduction of aircraft life-cycle cost and environmental footprint, increasingly desired by the aerospace industry, requires innovative ideas not only at design level but also at maintenance level. Aircraft manufacturers are looking for highly reliable equipment; however, degradations due to wear and tear and faults/failures are inevitable. Thus, when degradations occur, aircraft owners/operators want to […]

Le projet a pour objectif d’établir un processus permettant d’optimiser la planification et la gestion de projet de la conception jusqu’à la construction finale. L’utilisation d’une conception intégrée et d’une maquette numérique 3D (sur ordinateur) vise à augmenter la collaboration entre les intervenants du projet pour permettre de mettre en place ce processus. La maquette […]

For an Autonomous Vehicle (AV) to make decisions and drive independently on urban streets, the problem at hand can be broken down into many phases, two of which are perception and prediction. Perception refers to the process of extracting valuable information from the environment using data collected by sensors such as LIDAR and camera. This […]

The rapid development in the areas of statistics and machine learning demonstrate unprecedented performance in making cognitive business decisions. Quartic.ai aims to use state-of-the-art machine learning technology to help manufacturers assess and maintain the quality of their industrial units, which suffer damage due to continuous usage and normal wear and tear. Such damage needs to […]