A study on additive manufacturing of a 304L stainless steel

Part distortion and residual stress development are two major issues that hinder the industry’s application of the Laser Powder Bed Fusion (LPBF) process. This research will study the formation of residual stress and the distribution of stress fields during the LPBF process using finite element method (FEM) modeling. A sequentially coupled thermo-mechanical FEM model will […]

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Experimental and Numerical Study of Smart Blinds for Building Applications

Windows account for about 30% of the total heat lost from buildings. Fenestration products like blinds and shades can increase the thermal resistance of windows, causing a reduction in the heat loss from windows. In this study, the performance of Smart Blind, an automated blind that adjusts its position to reduce the cooling/heating energy consumption […]

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Application of a Novel 3D Centerline Extraction Algorithm for Automated Coronary Artery Mapping and Quantification

Clinical radiology and medical imaging research are beneficiated from the increased effectiveness of modern computer vision and image processing technologies. In order to automatically extract 3D centerlines from complex 3D images, our lab recently created a novel image processing technique. We will demonstrate its clinical utility using real-world medical imaging data. Therefore, the objectives of […]

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Developing and Implementing Testing Protocols for Large-Scale Hydrogen Storage in Lotsberg Salt Formation

This project will develop and implement laboratory protocols to evaluate the possibility of large-scale H2 storage in salt caverns in Canada. Proof of concept experiments will be conducted on core samples from the Lotsberg Salt Formation to identify and unlock challenges related to containment, contamination, and consumption of stored H2 in salt caverns. The laboratory […]

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Evosep One LC optimization and absolute quantitation of proteins in human and mouse plasma using Multiple Reaction Monitoring and Parallel Reaction Monitoring-Mass Spectrometry

Proteins are sub-cellular molecules that provide important information of how well the body is functioning at a given time. Abnormal increase or decrease in the level of proteins can be indicative of the presence of a disease. Hence, developing tools to accurately measure protein levels in the human body is of utmost importance. Over the […]

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Embedded FBG sensor system for cylindrical roller bearing condition monitoring

Rolling bearings are widely used in products and machinery with rotational motion due to their low rolling friction. Recently, integrating advanced sensor units in the bearings is in a rising demand due to the market requirements. In addition, the advent of the Internet of Things (IoT) has encouraged the real-time monitoring of connected equipment and […]

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Co-creation of a roadmap for data and information infrastructure for youth homelessness prevention

The research project aims to co-create a roadmap for data and knowledge infrastructure that contributes to youth homeless prevention in Canada. A roadmap will be created through collaboration between researchers, policymakers, service providers, and people with lived experience of youth homelessness. Based on the stakeholders’ concerns, priorities and needs identified in the initial phase, the […]

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Industrial Health and Safety Data Management and Training Mobile Platform

Accidents can be predicted and avoided with the use of health and safety data management software. (Guzman 2013) While a variety of IT health and safety management solutions have been developed for Fortune 500 companies, few of these solutions meet the needs of small and medium-sized businesses. One that does is Business2Mobile’s (B2M) Web API […]

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Peer to Peer (P2P): Speaking Up About Vaccine Safety

The proposed project will evaluate the Peer-to-Peer (P2P) project co-lead by NorWest Community Health Centres (NWCHC) and Dilico Anishinabek Family Care (Dilico). The project evaluation will explore if the interventions utilized by the P2P project have increased vaccination uptake in the identified vulnerable populations in Thunder Bay and District. The project’s efforts in increasing COVID-19 […]

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Physical activity engagement & the intention-action gap in older adults

This research project aims to study the factors which can influence engagement in physical activity in older adults and how it is linked to health. Using data from multiple countries and collected over periods of up to 12 years the research project will look at the influence of socioeconomic and environmental factors on this relationship. […]

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Anomaly detection from system logs through deep learning

During the last decade, we observe in organizations a surge of numbers of cyber-attacks originating internally. In this project, we aim to develop deep learning models to detect suspicious activity (such as malicious events, system failure or attacks) from log data generated by the Desjardins ecosystem.

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Developing innovative techniques for identifying critical habitat and mitigating threats to endangered salamanders

Jefferson Salamander (Ambystoma jeffersonianum) and co-occuring occurring unisexual Ambystomids (Ambystoma laterale – (2) jeffersonianum) are endangered species in Canada. Many populations in Canada are experiencing going threats and pressures from habitat loss and fragmentation due to surrounding land uses which include residential areas, agricultural fields, and road networks. This project will focus on locating and […]

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