Semantic Search and Visualisation using Machine Learning and Natural Language Processing

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. […]

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Towards disability inclusive COVID-19 policy

Youth with disabilities and their caregivers are disproportionately affected both by the COVID-19 pandemic and the policy measures that are adopted in response. Given the increased risk for this vulnerable population, intentionally planning and co-designing policy to meet the needs of youth with disabilities in emergency preparedness efforts is critical. Unfortunately, there is inadequate data […]

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Soil Stabilization with DFI

Over the years, numerous techniques and additives have been employed to increase soil strength and stability – from filling a bog with stones or other fill to compacting the soil with heavy machinery or mixing soil with cement or lime and allowing the resulting mix to harden. Duraflex Solutions Ltd has a new, environmentally-friendly product […]

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Development of intelligence system for enhancement of automatic recognition and classification of normal and abnormal cells of human blood images

Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing cost, and training new staff. In this project we are interested to investigate and develop a system for enhancement of automatic recognition and classification of human blood images. Smart tools for medical applications have high importance and increasing […]

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Scalable Fraud Detection Methods for Micro-donation Processing Platforms

The goal of this project is to investigate fraud detection methods for micro-donation processing platforms. Fraud detection is a popular topic in both industry and academia, but usually in the context of payment processing. Through this research we aim to develop a practical, scalable and robust fraud detection system for the specific use-case of micro-donation […]

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Energy Optimization Design Tool for Data-driven Building Massing

This project enhances the impact of a basic tool for early stage design decisions such as orientation,and building envelope composition on energy performance of the building. The proposed project adds the capabilities of the basic tool to drive, not only decisions regarding the design articulation of the building envelope, but also the design of the […]

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With the Child in Mind – Brain Development and Best Interests Decisions

Everyday across Canada, judges from both the federal and provincial courts make ‘best interest’ decisions affecting the lives of thousands of children and their families. Infants and children whose cases come before the justice sytem are more likely to have experienced abuse, neglect, exposure to family violence, parenting impaired by addiction or mental illness, and […]

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A Step Towards a Lower Carbon Future: Integrating Closed Loop Geothermal Technology in District Cooling Applications

This research aims to provide an affordable, clean energy alternative to meet the world’s cooling demands. As global warming, urbanization, and society’s dependency on digital storage increases, the world’s cooling demands continue to rapidly grow with predictions showing that they will outweigh heating demands by 2060. The majority of these demands are currently being met […]

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Validation of a weighted wearable training system for hockey skating

ROKET GEAR is a Canadian start-up that has developed a wearable training system for hockey skating. The system consists of adding weights strategically placed on the leg so that skaters can actually strength train while skating. As a result, the training system allows athletes to increase their effort during skating and to build strength in […]

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Applying Data Science and Machine Learning Techniques to Canadian Oil and Gas Extractions

Alberta’s Oil and Gas (O&G) sector plays a critical role in Canada meeting its commitment to the Paris Climate Change Agreement. However, few studies published the actual operation data for extraction operations (schemes), especially fuel consumption data to accurately project greenhouse gas (GHG) emissions for development and expansion of O&G projects. In this study, we […]

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Advanced Video Broadcasting Applications for Mobile Devices

To broadcast a video across the internet, digital video is first encoded to remove the spatial and temporal redundancy. The encoded video data is then transmitted at a lower bit rate or stored in a smaller hard disk without sacrificing too much displaying quality. Various video encoding standards have been developed in last decades. H.264/AVC […]

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Test-taker perceptions of an occupation-specific language proficiency test: Evaluating workforce access for internationally educated nurses in Canada

The objective of this research project is to study the perceptions of internationally educated nurses who are taking a language proficiency test, the Canadian English Language Benchmarks Assessment for Nurses (CELBAN) in order to practice nursing in Canada. Since effective communication is critical to quality healthcare, the CELBAN has an important role in evaluating the […]

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