Machine Learning Aided Self-Estimation of Device Position in Cellular IoT Networks

The research program in this project aims at advancing the use of cellular communications for Internet-of-Things applications. The academic researchers and the partner organization have identified three work items that revolve around the self-estimation of cellular IoT devices (1) to improve energy and spectrum efficient transmission of short and intermittent data packets, (2) to enable […]

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Technology Innovations to Improve Patient Outcomes After Spinal Cord Injury

Spinal cord injury (SCI) results in severe paralysis, for which there are no effective treatments. Advanced technologies, however, can play an important role in assisting in the diagnosis, monitoring, and treatment of SCI patients who suffer many impairments beyond the loss of voluntary muscle control. In this proposal, we will develop and apply innovative technologies […]

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Assessing cumulative hydrological impacts from forest disturbance and climate change in Duteau Creek community watershed

There are growing concerns over the cumulative hydrological effects of forest disturbance on hydrology in the Duteau Creek community watershed. The objectives of this proposed study are: 1) to calibrate and validate the hydrological model SWAT; 2) to assess the cumulative hydrological effects of proposed forest harvesting under future climate change impacts; and 3) to […]

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Indoor Virtual Tour and Virtual Object Display in 360 Degrees

The proposed project implements the applications of virtual view of indoor environments and objects in 360 degrees, thereby encouraging people to check the information of rooms and products online during the COVID-19 pandemic. Specifically, six objectives are proposed, each undertaken by two interns, to build a virtual view system satisfying different scenarios. With collected indoor […]

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Model-Based Security Compliance-By-Design for Low-Earth Orbit Satellite Operations Segments

Low-earth orbit (LEO) satellite constellations require high levels of security and resilience to provide high quality, reliable and trustworthy global connectivity services to customers. For these systems to develop customer trust and find widespread use, developers must demonstrate compliance to a variety of security standards, policies, and regulations. However, because these systems are very large […]

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Evaluating Oil Sands Process-Affected Water Seepage to Waterbodies by Implementing Traditional Knowledge and Western Science

An Indigenous community living near Alberta’s oil-sand mines is concerned that mining operations may be harming the rivers and lakes where they fish, hunt and trap. The research looks at finding the locations along the edges of rivers and lakes where there is evidence that mining operations may be affecting these waterbodies. The unique part […]

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Discovering new microbes and metabolisms in deep sea sediments using metagenomic sequencing

Microorganisms living in marine seafloor sediments are of scientific interest for many reasons including their role in cycling nutrients, their metabolic diversity, and the relatively few investigations of their existence due to their habitation of such an extreme and isolated environment. In addition, subsurface microbes can provide insight into their surrounding environment, including signalling the […]

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Characterizing Offshore Lobster Biology and Estimating Tag Recaptures and Reporting Rates in Lobster Fishing Areas 33 and 34

Little information is known about offshore lobster. Knowledge gaps exist in general population demographics, maturity rates, and movement patterns (migrations). Most notably, nothing is known about offshore lobster in this region especially during the closed season. This project will form a collaboration between captains and their crews and researchers to collect data on the offshore […]

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Real-time food analysis using deep learning for Diabetes Self -Monitoring

Our proposed research is to create an algorithm capable of pre-evaluating diabetes patients’ meals before they consume them with the snap of a picture. We are attempting to accomplish this goal by employing AI, machine learning as well as computer vision for real-time analysis. Our goal is to analyse a users meal to return an […]

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Optimizing Virtual Care Solutions Capabilities to Address Cognitive Impairment

Optimizing an integrated virtual care technology solution to expand capabilities to manage patients with cognitive impairment. These enhancements will improve remote monitoring and management of patients with Alzheimer’s and Dementia. The project will result in the development of additional tools and proprietary applications to enable comprehensive assessments in the areas of stroke and other neurological […]

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