Appreciating, Empowering, Motivating and Managing Workplace Diversity

This project will aim to improve the effectiveness of the delivery of cultural competency training programs to London Cross Cultural Learner Centre’s clients. In order to achieve this goal, the interns will be involved in clarifying employer needs and preferences, and the marketing mechanism that would be needed to improve delivery efficiency. The research process […]

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Agent-based scheduling in community health care

In this project, the intern will design a community health care scheduling system for the allocation of home visits to care givers in community health care. The system adopts an agent-based distributed system architecture which take patients scheduling preferences on time, location and care givers into account when assigning care givers to home visit appointments. […]

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Deep learning for tooth wear monitoring of mining shovels

The main objective of this project is using deep learning algorithm to enhance the current state of the art tooth wear monitoring system used in mining shovels. Unlike the current approach, the proposed deep learning method operates by building a model from input images in order to make data-driven predictions. We use deep learning approach […]

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Duplicate detection for billing systems

Merging different sub-companies into TELUS caused some of customer records to be repeated through the merged data-set. Algorithms are needed to determine the duplicate records. Currently a deterministic algorithm is being used in TELUS. In this project, we will investigate if machine learning can help to detect duplicates. Solving this problem has several parts. We […]

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Establishing baseline heart rate variability profiles for exercise prescription and health monitoring among Special Olympics athletes

The change in the time intervals between adjacent heartbeats is known as Heart Rate Variability (HRV). The HRV of a well-conditioned heart is generally large at rest, whereas low HRV has been associated with adverse outcomes/conditions, including congestive heart failure, diabetic neuropathy, depression, and hospital admissions. As beat-to-beat variation is desirable, there has been considerable […]

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Improving government performance through pay-for-success and pay-for-performance approaches

Governments around the globe are trying new approaches to solving complex social problems. They are increasingly moving away from the direct provision of social services towards more collaborative partnerships with the private sector. Pay-for-success, also known as pay-for-performance or Social Impact Bonds, is a method for engaging the private sector that has been gaining attention […]

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Synthetic Routes to ATA and Related Derivatives

The complement system is an essential component of innate immunity, but also causes self-damage when the system is aberrantly activated or self-protective capacity is exceeded. There are many conditions where failure to protect against self-damage from the complement system has been implicated in the pathology, including Alzheimer’s disease, Parkinson’s disease, Lou Gehrig’s disease, paroxysmal nocturnal […]

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Biomarkers of Spinal Cord Injury

In this project, we will establish biomarkers that objectively reflect the severity of injury, measure its progression, and predict neurologic outcome after acute spinal cord injury (SCI). This will be accomplished by comprehensively analyzing blood and spinal fluid samples from acute SCI patients. In addition, we will conduct a parallel experimental study in a large […]

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Monitoring the genetic health and structure of Grizzly bear populations in British Columbia to inform ecotourism and resource management

Grizzly bears represent a valuable economic, ecological, cultural and symbolic resource for British Columbia. In order to preserve this resource the current population of brown bears needs to be monitored to ensure the health of the population. One marker of health is the genetic health of the population. Genetic monitoring can also tell us important […]

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